Automatic control engineering Books
John Wiley & Sons Inc Learning Automata and Their Applications to
Book SynopsisComprehensive guide on learning automata, introducing two variants to accelerate convergence and computational update speed Learning Automata and Their Applications to Intelligent Systems provides a comprehensive guide on learning automata from the perspective of principles, algorithms, improvement directions, and applications. The text introduces two variants to accelerate the convergence speed and computational update speed, respectively; these two examples demonstrate how to design new learning automata for a specific field from the aspect of algorithm design to give full play to the advantage of learning automata. As noisy optimization problems exist widely in various intelligent systems, this book elaborates on how to employ learning automata to solve noisy optimization problems from the perspective of algorithm design and application. The existing and most representative applications of learning automata include classification, clustering, game, knapsack, network, optimization, r
£99.00
O'Reilly Media Basic Arduino Projects
Book SynopsisThis companion book to MakerShed's Ultimate Arduino Microcontroller Pack provides 26 clearly explained projects that you can build with this top-selling kit right away--including multicolor flashing lights, timers, tools for testing circuits, sound effects, motor control, and sensor devices.
£14.39
O'Reilly Media Feedback Control
Book SynopsisHow can you take advantage of feedback control for enterprise programming? With this book, author Philipp K. Janert demonstrates how the same principles that govern cruise control in your car also apply to data center management and other enterprise systems.
£25.59
O'Reilly Media Maker Pro
Book SynopsisMaker Pro is a book of essays by more than a dozen prominent and up-and-coming professional makers (Maker Pros). Each essay includes advice and stories on topics such as starting a kit-making business, taking a hardware project open-source, and plenty of encouragement to "quit your day job."
£14.39
O'Reilly Media Raspberry Pi and AVR Projects
Book SynopsisWritten for intermediate to seasoned Raspberry Pi users, this book explores four projects from around the world, explained by their makers. These projects cover five major categories in the digital maker space: music, light, games, home automation, and the Internet of Things.
£16.99
Springer-Verlag New York Inc. Fundamentals of Spacecraft Attitude Determination
Book SynopsisIt provides detailed derivations for attitude kinematics and dynamics and provides detailed description of the most widely used attitude parameterization, the quaternion.Trade Review“The present book presents the fundamental concepts and mathematical basis for spacecraft attitude description and control. … Every chapter and appendix contains a rich references. After reading this book, the reader will be convinced that the intended audience for it consists of graduate students, Ph.D. students and scientists with an interest in spacecraft attitude determination and control.” (Clementina Mladenova, zbMATH 1381.70006, 2018)“It is of exceptional quality in both the range of subjects covered and the detail of that coverage. … this book has a lot to offer to those of us involved in the developments and data processing for such projects, describing in detail external forces as well as the effects of non-rigidity. … this is a very worthwhile volume, highly recommended for anyone involved in astronomical or other satellite projects.” (Floor van Leeuwen, The Observatory, Vol. 135 (1246), June, 2015)“This is an excellent book. Markley … and Crassidis (Univ. of Buffalo) have succeeded in creating a work that is a good textbook for both upper-level undergraduate and graduate students as well as practitioners. … book ends with several appendixes that further support the rest of the book and also provide novice practitioners with a good resource to help them understand the more technical and complicated material. … Summing Up: Highly recommended. Aerospace engineering collections serving upper-division undergraduates through professionals/practitioners.” (D. B. Spencer, Choice, Vol. 52 (7), March, 2015)Table of ContentsAttitude Determination and Estimation.- Matrices, Vectors, Frames, Transforms.- Rotational Kinematics and Dynamics.- Sensors and Actuators.- Static Attitude Determination Methods.- Filtering for Attitude Determination.- Attitude Control.
£85.49
Society for Industrial & Applied Mathematics,U.S. Piecewise Affine Control: Continuous-Time,
Book SynopsisEngineering systems operate through actuators, most of which will exhibit phenomena such as saturation or zones of no operation, commonly known as dead zones. These are examples of piecewise-affine characteristics, and they can have a considerable impact on the stability and performance of engineering systems. This book targets controller design for piecewise affine systems, fulfilling both stability and performance requirements.The authors present a unified computational methodology for the analysis and synthesis of piecewise affine controllers, taking an approach that is capable of handling sliding modes, sampled-data, and networked systems. They introduce algorithms that will be applicable to nonlinear systems approximated by piecewise affine systems, and they feature several examples from areas such as switching electronic circuits, autonomous vehicles, neural networks, and aerospace applications.Piecewise Affine Control: Continuous-Time, Sampled-Data, and Networked Systems is intended for graduate students, advanced senior undergraduate students, and researchers in academia and industry. It is also appropriate for engineers working on applications where switched linear and affine models are important.Trade ReviewPiecewise affine systems are widely used as modeling and design tools across a number of applications, ranging from robotics to systems biology. These systems require a delicate touch as they can exhibit complex and sometimes surprising features. This impressive book navigates the world of such systems with clarity, technical depth, and elegance.”- Professor Magnus Egerstedt, Georgia Institute of Technology
£78.20
Information Age Publishing Contemporary Perspectives on Technological
Book SynopsisManaging technological innovations and related policy and strategy issues have been a central focus of the new millennium. This book series presents an interdisciplinary scholarship and dialogue on the management of innovation and technological change in a global context from a variety of perspectives, including strategic, managerial, behavioural, and policy issues. Papers selected in this volume have four prominent themes: the wide spread interests and the global application of the technological innovation; the practicality of the research on technological innovation implementation to foster success and financial growth; the socio-technical challenges behind innovation and creativity that might outweigh the benefits; and the new principles/practices/perspectives on our understanding of the technological innovation. Contributed by prominent scholars and practitioners from around the world in innovation, management and policy area, this book will become a very useful read for anyone who is interested in learning the most contemporary perspectives on the subject.
£58.12
Information Age Publishing Contemporary Perspectives on Technological
Book SynopsisManaging technological innovations and related policy and strategy issues have been a central focus of the new millennium. This book series presents an interdisciplinary scholarship and dialogue on the management of innovation and technological change in a global context from a variety of perspectives, including strategic, managerial, behavioural, and policy issues. Papers selected in this volume have four prominent themes: the wide spread interests and the global application of the technological innovation; the practicality of the research on technological innovation implementation to foster success and financial growth; the socio-technical challenges behind innovation and creativity that might outweigh the benefits; and the new principles/practices/perspectives on our understanding of the technological innovation. Contributed by prominent scholars and practitioners from around the world in innovation, management and policy area, this book will become a very useful read for anyone who is interested in learning the most contemporary perspectives on the subject.
£87.40
Now Publishers Compressed Sensing Approach to Systems and Control
Book SynopsisThis book provides a comprehensive guide to compressed sensing-based techniques, focusing primarily on their application to systems and control.
£99.75
ISTE Ltd and John Wiley & Sons Inc Process Control Design for Industrial
Book SynopsisThis book presents the most important methods used for the design of digital controls implemented in industrial applications. The best modelling and identification techniques for dynamical systems are presented as well as the algorithms for the implementation of the modern solutions of process control. The proposed described methods are illustrated by various case studies for the main industrial sectors There exist a number of books related each one to a single type of control, yet usually without comparisons for various industrial sectors. Some other books present modelling and identification methods or signal processing. This book presents the methods to solve all the problems linked to the design of a process control without the need to find additional information.Table of ContentsPreface ix List of Acronyms and Notations xi Chapter 1 Introduction – Models and Dynamic Systems 1 1.1 Overview 1 1.2 Industrial process modeling 3 1.3 Model classes 5 1.3.1 State space models 5 1.3.2 Input–output models 12 Chapter 2 Linear Identification of Closed-Loop Systems 21 2.1 Overview of system identification 21 2.2 Framework 22 2.3 Preliminary identification of a CL process 27 2.3.1 Multivariable linear identification methods 27 2.3.2 Estimation of linear MIMO models using the LSM 30 2.3.3 Identifying CL processes using the MV-LSM 35 2.4 CLOE class of identification methods 39 2.4.1 Principle of CLOE methods 39 2.4.2 Basic CLOE method 41 2.4.3 Weighted CLOE method 46 2.4.4 Filtered CLOE method or adaptively filtered CLOE 56 2.4.5 Extended CLOE method 58 2.4.6 Generalized CLOE method 65 2.4.7 CLOE methods for systems with integrator 74 2.4.8 On the validation of CLOE identified models 78 2.5 Application: identification of active suspension 80 Chapter 3 Digital Control Design Using Pole Placement 93 3.1 Digital proportional-integral-derivative algorithm control 93 3.2 Digital polynomial RST control 96 3.3 RST control by pole placement 98 3.3.1 RST control for regulation dynamics 99 3.3.2 RST polynomial control for tracking dynamics (setpoint change) 100 3.3.3 RST control with independent objectives in tracking and regulation 101 3.4 Predictive RST control 104 3.4.1 Finite horizon predictive control 105 3.4.2 Predictive control with unitary horizon 107 Chapter 4 Adaptive Control and Robust Control 113 4.1 Adaptive polynomial control systems 113 4.1.1 Estimation of the parameters for closed-loop systems 114 4.1.2 Design of the adaptive control 115 4.2 Robust polynomial control systems 117 4.2.1 Robustness of closed-loop systems 118 4.2.2 Studying the stability–robustness connection 121 4.2.3 Study of the nonlinearity–robustness connection 123 4.2.4 Study of the performance–robustness connection 124 4.2.5 Analysis of robustness in the study of the sensitivity function 125 4.2.6 Design of the robust RST control 127 4.2.7 Calibrating the sensitivity function 128 Chapter 5 Multimodel Control 131 5.1 Construction of multimodels 132 5.1.1 Fuzzy logic: Mamdani models 132 5.1.2 Identification from input–output data: direct method 138 5.1.3 Identification from input–output data: neural approach 139 5.1.4 Linearization around various operating points 141 5.1.5 Convex polytopic transformation from an analytical model refined for the command 141 5.1.6 Calculation of the validity of base models 143 5.2 Stabilization and control of multimodels 144 5.3 Design of multimodel command: fuzzy approach 144 5.4 Trajectory tracking 145 Chapter 6 Ill-Defined and/or Uncertain Systems 147 6.1 Study of the stability of nonlinear systems from vector norms 147 6.1.1 Vector norms 147 6.1.2 Comparison systems and overvaluing systems 148 6.1.3 Determination of attractors 153 6.1.4 Nested attractors [GHA 15a] 156 6.2 Adaptation of control 156 6.2.1 Minimizing the size of attractors: direct approach 156 6.2.2 Minimizing the size of attractors by metaheuristics 157 6.3 Overvaluation of the maximum error for various applications 157 6.3.1 Control of nonlinear systems by pole placement 157 6.3.2 Diffeomorphism command of nonlinear processes 159 6.3.3 Determining the attractor for Lur’e Postnikov type processes [GHA 14] 161 6.3.4 Minimizing the attractor through tabu search 165 6.4 Fuzzy secondary loop control 171 Chapter 7 Modeling and Control of an Elementary Industrial Process 173 7.1 Modeling and control of fluid transfer processes 173 7.1.1 Modeling fluid flow processes 173 7.1.2 Designing flow control systems 178 7.2 Modeling and controlling liquid storage processes 180 7.2.1 Constant output flow 181 7.2.2 Variable output flow 183 7.2.3 Designing liquid level control systems 185 7.3 Modeling and controlling the storage process of a pneumatic capacitor 187 7.3.1 Modeling a pneumatic capacitor 187 7.3.2 Designing pneumatic capacitor control systems 190 7.4 Modeling and controlling heat transfer processes 191 7.4.1 Modeling a thermal transfer process 191 7.4.2 Designing temperature control systems 194 7.5 Modeling and control of component transfer processes 195 7.5.1 Modeling a chemical mixing process without reaction 195 7.5.2 Modeling a chemical reaction process 198 7.5.3 Designing systems for controlling the concentration of chemical components 200 Chapter 8 Industrial Applications – Case Studies 203 8.1 Digital control for an installation of air heating in a steel plant 203 8.1.1 Automation solution and design of the control algorithms 204 8.1.2 Optimization of the combustion process 207 8.2 Control and optimization of an ethylene installation 210 8.2.1 Automation solution and designing the control algorithms 211 8.2.2 Optimizing the pyrolysis process 217 8.3 Digital control of a thermoenergy plant 219 8.3.1 Solving the problem of automation of a thermal operating point 220 8.3.2 Optimization of thermal transfer and agent product 225 8.4 Extremal control of a photovoltaic installation 226 8.4.1 Extremal control of a photovoltaic panel 237 Appendix A 243 Appendix B 249 Appendix C 257 Appendix D 261 Bibliography 271 Index 279
£125.06
ISTE Ltd and John Wiley & Sons Inc Advanced Techniques and Technology of
Book SynopsisThis book covers various modern theoretical, technical, practical and technological aspects of computerized numerical control and control systems of deterministic and stochastic dynamical processes. Table of ContentsPreface xi Introduction xv Part 1: Advanced Elements and Test Bench of Computer-aided Feedback Control 1 Chapter 1: Canonical Discrete State Models of Dynamic Processes 3 1.1. Interest and construction of canonical state models 3 1.2. Canonical realizations of a transfer function G(z) 4 1.2.1. Jordan canonical realization 4 1.2.2. Controllable canonical realization7 1.2.3. Observable canonical realization 9 1.3. Canonical transformations of discrete state models 11 1.3.1. Jordan canonical transformation 12 1.3.2. Controllable canonical transformation 13 1.3.3. Observable canonical transformation 16 1.3.4. Kalman canonical transformation 19 1.4. Canonical decomposition diagram 19 1.5. Discretization and canonical transformations using Matlab 20 1.6. Exercises and solutions 21 Chapter 2: Design and Simulation of Digital State Feedback Control Systems 27 2.1. Principle of digital state feedback control 27 2.2. Calculation of the gain K using pole placement 28 2.3. State feedback with complete order observer 29 2.3.1. Problem statement 29 2.3.2. Structure of the complete or full state observer 29 2.3.3. Synthesis diagram of the state feedback with complete observer 31 2.4. Discrete state feedback with partial observer 34 2.4.1. Problem statement 34 2.4.2. Structure of the partial state observer 34 2.4.3. Diagram of discrete state feedback with partial observer 37 2.5. Discrete state feedback with set point tracking 40 2.6. Block diagram of a digital control system 40 2.7. Computer-aided simulation of a servomechanism 41 2.7.1. Simulation of a speed servomechanism 41 2.7.2. Computer-aided simulation of a position servomechanism 46 2.8. Exercises and solutions 49 Chapter 3: Multimedia Test Bench for Computer-aided Feedback Control 61 3.1. Context and interest 61 3.1.1. Context 61 3.1.2. Scientific/teaching interest 62 3.1.3. Platform presentation methodology 62 3.2. Hardware constituents of the platform 62 3.3. Design elements of the ServoSys software application 63 3.3.1. Fundamental elements 63 3.3.2. Elements of software programming 68 3.4. Design of the ServoSys software application 74 3.4.1. Architectural diagram of the software application 74 3.4.2. SFC of the ServoSys multimedia platform 75 3.5. Implementation of the ServoSys multimedia platform 80 3.5.1. Hardware implementation 80 3.5.2. Software implementation 81 3.6. Overall tests of the platform 84 3.6.1. Commissioning and procedures 84 3.6.2. Samples of results displayed on the Matlab/GUI panel 85 3.7. Exercises and solutions 90 Part 2: Deterministic and Stochastic Optimal Digital Feedback Control 97 Chapter 4: Deterministic Optimal Digital Feedback Control 99 4.1. Optimal control: context and historical background 99 4.1.1. Context 99 4.1.2. Historical background 99 4.2. General problem of discrete-time optimal control 102 4.2.1. Principle 102 4.2.2. Functional formulation 102 4.3. Linear quadratic regulator (LQR) 103 4.3.1. Definition, formulation and study methods 103 4.3.2. H–J–B equations 104 4.4. Translation in discrete time of continuous LQR problem 108 4.4.1. Discretization of state equation 109 4.4.2. Discretization of the cost function 109 4.4.3. Case study of a scalar LQR problem 110 4.5. Predictive optimal control 114 4.5.1. Basic principle 114 4.5.2. Recurrence equation of a process based on q–1 operator 116 4.5.3. General formulation of a prediction model 116 4.5.4. Solution and structure of predictive optimal control 118 4.6. Exercises and solutions 119 Chapter 5: Stochastic Optimal Digital Feedback Control 127 5.1. Introduction to stochastic dynamic processes 127 5.2. Stochastic LQR 128 5.2.1. Formulation 128 5.2.2. Resolution of the stochastic H–J–B equation 129 5.2.3. Block diagram of stochastic LQR 133 5.2.4. Properties of stochastic LQR 134 5.3. Discrete Kalman filter 136 5.3.1. Scientific context and hypotheses 136 5.3.2. Notations 136 5.3.3. Closed-loop algorithmic diagram 137 5.4. Linear Quadratic Gaussian regulator 139 5.4.1. Context 139 5.4.2. Separation principle 140 5.4.3. Algorithmic diagram of LQG regulator 141 5.5. Exercises and solutions 142 Chapter 6: Deployed Matlab/GUI Platform for the Design and Virtual Simulation of Stochastic Optimal Control Systems 145 6.1. Introduction to OPCODE (Optimal Control Design) platform 145 6.1.1. Scientific context 145 6.1.2. Detailed presentation methodology 145 6.2. Fundamental OPCODE design elements 146 6.2.1. Elements of deterministic optimal control 146 6.2.2. Elements of stochastic optimal control 149 6.3. Design of OPCODE using SFC 152 6.3.1. Architectural diagram 152 6.3.2. Implementation of SFC 155 6.4. Software implementation 157 6.5. Examples of OPCODE use 159 6.5.1. Design of deterministic optimal control systems 159 6.5.2. Design of stochastic optimal control systems 159 6.6. Production of deployed OPCODE.EXE application 161 6.6.1. Interest of Matlab/GUI application deployment 161 6.6.2. Deployment methodology 162 6.6.3. Tests of deployed OPCODE.EXE application 162 6.7. Exercises and solutions 164 Part 3: Remotely Operated Feedback Control Systems via the Internet 169 Chapter 7: Elements of Remotely Operated Feedback Control Systems via the Internet 171 7.1. Problem statement 171 7.2. Infrastructural topologies 172 7.2.1. Basic topology 172 7.2.2. Advanced topologies 173 7.3. Remotely operated laboratories via the Internet 176 7.3.1. Comparison between classical and remotely operated laboratories 176 7.3.2. Infrastructures on the server side of a remotely operated laboratory 178 7.3.3. Criteria for the creation of a remotely operated laboratory 180 7.4. Exercises and solutions 180 Chapter 8: Remotely Operated Automation Laboratory via the Internet 187 8.1. Introduction to remotely operated automation laboratory 187 8.1.1. Creation context 187 8.1.2. Didactic context 188 8.1.3. Specifications 188 8.2. Design and implementation of the experimental system 189 8.2.1. Descriptive diagrams 189 8.2.2. Dynamic model of the real power lighting system 191 8.2.3. Dynamic model of the PID controller for power lighting 191 8.2.4. MMMI-aided Labview application 192 8.3. Topology of the remotely operated automation laboratory 193 8.3.1. Hardware infrastructure 194 8.3.2. Specialized infrastructure on the server side 194 8.3.3. Infrastructure on the remote operator side 196 8.4. Use of a remotely operated laboratory via the Internet 196 8.4.1. Procedure instruction sheet 196 8.4.2. Samples of test results obtained with REOPAULAB 197 8.5. Exercises and solutions 200 Appendices 207 Appendix 1. Table of z-transforms 209 Appendix 2. Matlab Elements Used in this Book 211 Appendix 3. Discretization of Transfer Functions 215 Bibliography 217 Index 219
£125.06
ISTE Ltd Diagnosis and Fault-tolerant Control 1:
Book SynopsisThis book presents recent advances in fault diagnosis strategies for complex dynamic systems. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique, especially for those demanding systems that require reliability, availability, maintainability and safety to ensure efficient operations. Moreover, the need for a high degree of tolerance with respect to possible faults represents a further key point, primarily for complex systems, as modeling and control are inherently challenging, and maintenance is both expensive and safety-critical.Diagnosis and Fault-tolerant Control 1 also presents and compares different diagnosis schemes using established case studies that are widely used in related literature. The main features of this book regard the analysis, design and implementation of proper solutions for the problems of fault diagnosis in safety critical systems. The design of the considered solutions involves robust data-driven, model-based approaches.Table of ContentsIntroduction ix Vicenç Puig and Silvio Simani Chapter 1 Mathematical Modeling and Fault Description 1 Silvio Simani 1.1. Introduction 1 1.2. Model-based FDI techniques 2 1.3. Modeling of faulty systems 3 1.3.1. Fault modeling and description 5 1.3.2. Mathematical description 6 1.4. Residual generation 11 1.5. Residual generation techniques 14 1.5.1. Residual generation via parameter estimation 15 1.5.2. Observer-based approaches 18 1.5.3. Fault detection via parity equations 24 1.6. Change detection and symptom evaluation 28 1.7. Residual generation robustness problem 30 1.7.1. FDI H∞ approach 32 1.7.2. Active and passive disturbance decoupling 35 1.8. Fault diagnosis technique integration 36 1.8.1. Fuzzy logic for residual generation 37 1.8.2. Neural networks for fault diagnosis 38 1.8.3. Neuro-fuzzy approaches to FDI 40 1.8.4. Fault detectability and isolability 42 1.8.5. NF model structure identification 43 1.8.6. NF residual generation for FDI 44 1.9. Conclusion 46 1.10. References 47 Chapter 2 Structural Analysis 57 Mattias Krysander and Erik Frisk 2.1. Introduction 57 2.2. Background 58 2.2.1. Structural models 58 2.2.2. Dulmage–Mendelsohn decomposition and matchings 60 2.2.3. Dulmage–Mendelsohn decomposition and simulation 63 2.3. Fault isolability analysis 64 2.3.1. Fault detectability analysis 64 2.3.2. Fault isolability analysis 65 2.3.3. Canonical isolability decomposition of the overdetermined part 67 2.4. Testable submodels 69 2.4.1. Basic definitions 69 2.4.2. MSO algorithm 71 2.4.3. Residual generation based on matching 72 2.5. Sensor placement 74 2.5.1. The basic sensor placement problem 74 2.5.2. A structural approach 75 2.6. Summary and discussion 80 2.7. References 81 Chapter 3 Set-based Fault Detection and Isolation 83 Ye Wang and Vicenç Puig 3.1. Introduction 83 3.2. Notations, definitions and properties 84 3.3. Problem statement 86 3.3.1. Uncertain discrete-time linear systems 86 3.3.2. Set-based methods 86 3.3.3. FDI problem statement 88 3.4. Proposed techniques 89 3.4.1. Set-membership approach 89 3.4.2. Zonotopic observer 90 3.4.3. Relationship between set-based methods 91 3.5. Design methods 92 3.5.1. Robustness conditions 92 3.5.2. Fault sensitivity condition 96 3.6. Fault detection and isolation procedures 99 3.6.1. Fault detection 99 3.6.2. Fault isolation 100 3.7. Application example: quadruple-tank system 101 3.7.1. Results with robustness condition 105 3.7.2. Results with robustness and fault sensitivity conditions 105 3.8. Conclusion 105 3.9. References 109 Chapter 4 Diagnosis of Stochastic Systems 111 Gregory Provan 4.1. Introduction 111 4.2. Stochastic diagnosis task 113 4.2.1. Notation 113 4.2.2. Problem formulation 113 4.2.3. Representing uncertainty 115 4.3. Inference methods for diagnosis task 116 4.3.1. Difference with other tasks 116 4.4. Model-based approach 117 4.4.1. Traditional FDD methods 117 4.4.2. Bayesian inversion/filtering 120 4.5. Data-driven approaches 122 4.5.1. ML methods 123 4.5.2. Statistical methods 124 4.6. Hybrid approaches: surrogate methods 125 4.6.1. Fitting surrogate models via sampling 125 4.7. Comparative analysis of approaches 126 4.8. Summary and conclusions 127 4.9. References 128 Chapter 5 Data-Driven Methods for Fault Diagnosis 131 Silvio Simani 5.1. Introduction 131 5.2. Models for linear system fault diagnosis 133 5.3. Parameter estimation methods for fault diagnosis 135 5.3.1. Data-driven method in ideal conditions 135 5.3.2. Data-driven methods in real scenarios 138 5.3.3. Algebraic Frisch scheme 139 5.3.4. Dynamic Frisch scheme 141 5.3.5. MIMO case Frisch scheme 145 5.4. Nonlinear dynamic system identification 146 5.4.1. Piecewise affine model 147 5.4.2. Hybrid model structure 148 5.4.3. Nonlinear system approximation 149 5.4.4. Model continuity and domain partitioning 151 5.4.5. Local affine model estimation 154 5.4.6. Multiple-model estimation 158 5.5. Fuzzy data-driven approach to fault diagnosis 164 5.5.1. Fuzzy model identification 165 5.5.2. Takagi–Sugeno prototypes 167 5.5.3. Data-driven fuzzy modeling 170 5.5.4. Clustering methods 170 5.5.5. Fuzzy c-means clustering algorithms 172 5.5.6. Gustafson–Kessel clustering algorithm 174 5.5.7. Optimal number of clusters 176 5.6. Fuzzy model identification 176 5.6.1. Nonlinear model identification 178 5.6.2. Product space clustering identification 181 5.6.3. Fuzzy clustering model identification 183 5.6.4. Antecedent membership function estimation 183 5.6.5. Estimating consequent parameters 185 5.7. Conclusion 189 5.8. References 189 Chapter 6 The Artificial Intelligence Approach to Model-based Diagnosis 197 Belarmino Pulido, Carlos J. Alonso-González and Anibal Bregon 6.1. Introduction 197 6.2. Case studies 199 6.3. Knowledge-based diagnosis systems 201 6.3.1. Diagnosis task and system model 203 6.3.2. Diagnosis of physical devices 206 6.3.3. Limits of KBS for diagnosis of physical devices 207 6.4. Model-based diagnosis 208 6.4.1. Formalization of consistency-based diagnosis and its first implementation, GDE 209 6.5. CBD for dynamic systems 217 6.5.1. Different approaches for CBD of dynamic systems 219 6.5.2. PCs for the three-tank system case study 222 6.6. Conclusion 224 6.7. References 226 List of Authors 231 Index 233 Summary of Volume 2 237
£124.15
ISTE Ltd Diagnosis and Fault-tolerant Control Volume 2:
Book SynopsisThis book presents recent advances in fault diagnosis and fault-tolerant control of dynamic processes. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique and sustainable control, especially for those demanding systems that require reliability, availability, maintainability, and safety to ensure efficient operations. Moreover, the need for a high degree of tolerance with respect to possible faults represents a further key point, primarily for complex systems, as modeling and control are inherently challenging, and maintenance is both expensive and safety-critical.Diagnosis and Fault-tolerant Control 2 also presents and compares different fault diagnosis and fault-tolerant schemes, using well established, innovative strategies for modeling the behavior of the dynamic process under investigation. An updated treatise of diagnosis and fault-tolerant control is addressed with the use of essential and advanced methods including signal-based, model-based and data-driven techniques. Another key feature is the application of these methods for dealing with robustness and reliability.Table of ContentsChapter 1 Nonlinear Methods for Fault Diagnosis 1 Silvio Simani and Paolo Castaldi 1.1. Introduction 1 1.2. Fault diagnosis tasks 2 1.2.1. Residual generation task 5 1.2.2. Residual evaluation task 8 1.3. Model-based fault diagnosis 9 1.3.1. Parity space relations 9 1.3.2. Observer-based approaches 12 1.3.3. Nonlinear filtering methods 14 1.3.4. Nonlinear geometric approach strategy 17 1.4. Data-driven fault diagnosis 20 1.4.1. Online identification methods 21 1.4.2. Machine learning approaches to fault diagnosis 24 1.5. Model-based and data-driven integrated fault diagnosis 34 1.6. Robust fault diagnosis problem 42 1.7. Summary 47 1.8. References 48 Chapter 2 Linear Parameter Varying Methods 57 Mickael Rodrigues, Habib Hamdi and Didier Theilliol 2.1. Introduction 57 2.2. Preliminaries: a classical approach 60 2.3. Problem statement 62 2.4. Robust active fault-tolerant control design 65 2.4.1. Robust observer-based FTC design 65 2.4.2. Stability analysis 68 2.5. Application: an anaerobic bioreactor 75 2.6. Conclusion 81 2.7. References 81 Chapter 3 Fuzzy and Neural Network Approaches 85 Marcin Witczak, Marcin Pazera, Norbert Kukurowski and Marcin Mrugalski 3.1. Introduction 85 3.2. Fuzzy model design 87 3.2.1. Takagi–Sugeno systems 87 3.2.2. Generation of TS models via nonlinear embedding 88 3.3. Neural model design 90 3.3.1. Recurrent neural network 90 3.3.2. Identification of the neural model uncertainty 93 3.4. Fault estimation and diagnosis 94 3.4.1. Actuator fault estimation using neural networks 94 3.4.2. Sensor and actuator fault estimation using fuzzy logic 97 3.5. Fault-tolerant control 101 3.5.1. An overview of the fault-tolerant scheme 101 3.5.2. Robust fault estimation and control 103 3.5.3. Derivation of a robust invariant set 106 3.5.4. Efficient predictive FTC 106 3.6. Illustrative examples 110 3.6.1. Sensor and actuator fault estimation example 110 3.6.2. Fault-tolerant control example 113 3.7. Conclusion 115 3.8. Acknowledgment 116 3.9. References 116 Chapter 4 Model Predictive Control Methods 121 Krzysztof Patan 4.1. Introduction 121 4.2. Idea of MPC 122 4.3. Robustness of MPC 125 4.4. Neural-network-based robust MPC 126 4.4.1. Neural network models 127 4.4.2. Nonlinear MPC 130 4.4.3. Approximate MPC 130 4.4.4. Robust nonlinear MPC 132 4.4.5. Robust approximate MPC 132 4.5. Robust control of a pneumatic servo 134 4.5.1. Robust nonlinear neural-network-based MPC 135 4.5.2. Robust approximate neural-network-based MPC 139 4.6. Conclusion 140 4.7. References 140 Chapter 5 Nonlinear Modeling for Fault-tolerant Control 143 Silvio Simani and Paolo Castaldi 5.1. Introduction 143 5.1.1. Joint fault diagnosis and control 147 5.1.2. Nonlinear adaptive fault estimators 149 5.1.3. Fuzzy fault-tolerant control 161 5.1.4. Recursive adaptive control 164 5.1.5. Sustainable control 174 5.2. Fault-tolerant control strategies 175 5.2.1. Fault tolerance and compensation 177 5.3. Fault diagnosis and tolerant control 180 5.3.1. Fault-tolerant control design 183 5.4. Summary 186 5.5. References 187 Chapter 6 Virtual Sensors and Actuators 193 Damiano Rotondo and Vicenç Puig 6.1. Introduction 193 6.2. Problem statement 194 6.3. Virtual sensors and virtual actuators 198 6.4. LMI-based design 202 6.5. Additional considerations 205 6.6. Application example 208 6.6.1. Virtual actuator 209 6.6.2. Virtual sensors 210 6.7. Conclusion 212 6.8. References 212 Chapter 7 Conclusions 215 Vicenç Puig and Silvio Simani 7.1. Introduction 215 7.2. Closing remarks 219 7.3. References 229 Chapter 8 Open Research Issues 241 Vicenç Puig and Silvio Simani 8.1. Further works and open problems 241 8.1.1. Sustainable control design objectives 243 8.1.2. Sustainable control concepts and approaches 247 8.1.3. Sustainable control approaches and working methods 249 8.1.4. Sustainable control design ambition 253 8.1.5. Sustainable control innovation potentials 258 8.1.6. Sustainable control expected impacts 259 8.2. Summary 261 8.3. References 262 List of Authors 265 Index 267 Summary of Volume 1 271
£124.15
Edward Elgar Publishing Ltd The Future of Creative Work: Creativity and
Book SynopsisThe Future of Creative Work provides a unique overview of the changing nature of creative work, examining how digital developments and the rise of intangible capital are causing an upheaval in the social institutions of work. It offers a profound insight into how this technological and social evolution will affect creative professions. Expert international contributors explore how robotics, artificial intelligence, blockchain, global digital platforms and autonomous systems will shape the design, production and consumption of culture. Taking a multidisciplinary approach incorporating creative industries studies, business, education and economics, the book analyses the technological drivers of disruption in the world of creative work. Chapters reveal how these changes will create new axes of power and inequality in the global sphere of creative work, predicting that conventional creative professions will be challenged and different species of creative work will evolve as a result. By charting the impact of digital and technological developments, The Future of Creative Work challenges traditional views of creative work, careers and education. This book will be a valuable resource for students and researchers undertaking creative industries studies. Its discussion of the application of creative careers across the economy will also be beneficial for scholars and practitioners interested in business, economics, and advertising and marketing studies.Trade Review'What do we know about the future of creative work? A lot more now, thanks to Greg Hearn's new book and the impressive list of contributors. This book, with fifteen chapters from a high quality, international authorship contributes to our knowledge through four sections: the evolution of creative work, digital disruption and creative work, changing contexts of creative work, and educating for the future. This book will be both a thought provoking and entertaining contribution for people interested in creative work and the teaching and researching in the area.' --Keith Townsend, Griffith University, Australia'This volume offers a multidisciplinary and global perspective on the many forms and functions of creative work and creative workers. Moreover, the work delves deeply into the technological innovations that are transforming creative work and the careers of creative workers. A key insight is how communication technologies are promoting spatially disaggregated collaborations amongst creative and non-creative work participants. These findings offer unique insights into how creative work practices may be applicable to a wider scope of employment disrupted by the global COVID pandemic.' --Robert DeFillippi, Suffolk University, US'The Future of Creative Work is a comprehensive exploration of issues that so many of us think about. The book looks into all the corners of creative work, old and new. In doing this, it considers changing technology, changing modes of work, and the production of social, cultural and economic value through creative work. 3D printers, robots and AI, teaching and learning in the arts like dance, the effects of casualisation and nomadism in the creative economy, and questions about whether creativity future-proofs students and workers are all important matters considered in the book. It is a perfect book for this time.' --David Rooney, Macquarie University, AustraliaTable of ContentsContents: 1 The future of creative work: creativity and digital disruption 1 Greg Hearn PART I THE EVOLUTION OF CREATIVE WORK 2 The creative economy: the rise and risks of intangible capital and the future of creative work 14 Greg Hearn and Marion McCutcheon 3 The relationship between creative employment and local economies outside capital cities 34 Greg Hearn, Stuart Cunningham, Marion McCutcheon and Mark David Ryan 4 A taxonomic structural change perspective on the economic impact of robots and artificial intelligence on creative work 57 Ben Vermeulen, Andreas Pyka and Pier Paolo Saviotti PART II DIGITAL DISRUPTION AND CREATIVE WORK 5 New economic infrastructures for creative work 78 Ellie Rennie and Jason Potts 6 Automated journalism: expendable or supplementary for the future of journalistic work? 99 Aljosha Karim Schapals 7 Robotics and artificial intelligence in architecture: what skills will architects need in 2050? 108 Cori Stewart, Glenda Amayo Caldwell, Müge Belek Fialho Teixeira and Jonathan Roberts 8 Museum curation in the digital age 123 Rui Oliveira Lopes PART III CHANGING CONTEXTS OF CREATIVE WORK 9 The role of casual creative environments for creative work in cities: implications for the future creative city 141 Ana Bilandzic, Onur Mengi and Greg Hearn 10 Digital nomadism: mobility, millennials and the future of work in the online gig economy 156 Beverly Yuen Thompson 11 Playing with TikTok: algorithmic culture and the future of creative work 172 Natalie Collie and Caroline Wilson-Barnao 12 Managing embedded creative work: the challenge of causal ambiguity 189 Cliff Bowman and Juani Swart PART IV EDUCATING FOR THE FUTURE OF CREATIVE WORK 13 Creativity 2.0: new approaches to creative economy work and education in the creative industries 212 Chris Bilton 14 When dancers learn to teach dance: how creatives acquire expertise in multiple domains to improve employability 229 Jose Hilario Pereira Rodrigues 15 Do creative skills future-proof your job? Creativity and the future of work in an age of exponential technological advancement 245 Ruth Bridgstock, Russell Tytler and Peta White Index 259
£109.00
ISTE Ltd and John Wiley & Sons Inc Automatic Control of Bioprocesses
Book SynopsisGiving an overview of the challenges in the control of bioprocesses, this comprehensive book presents key results in various fields, including: dynamic modeling; dynamic properties of bioprocess models; software sensors designed for the on-line estimation of parameters and state variables; control and supervision of bioprocesses.Table of ContentsChapter 1. What are the Challenges for the Control of Bioprocesses? 11 Denis DOCHAIN 1.1. Introduction . 11 1.2. Specific problems of bioprocess control 12 1.3. A schematic view of monitoring and control of a bioprocess 12 1.4. Modeling and identification of bioprocesses: some key ideas 13 1.5. Software sensors: tools for bioprocess monitoring 14 1.6. Bioprocess control: basic concepts and advanced control15 1.7. Bioprocess monitoring: the central issue 15 1.8. Conclusions 16 1.9. Bibliography 16 Chapter 2. Dynamic Models of Biochemical Processes: Properties of Models 17 Olivier BERNARD and Isabelle QUEINNEC 2.1. Introduction 17 2.2. Description of biochemical processes 18 2.2.1. Micro-organisms and their use 18 2.2.2. Types of bioreactors 19 2.2.3. Three operating modes 19 2.3. Mass balance modeling 21 2.3.1. Introduction 21 2.3.2. Reaction scheme 21 2.3.3. Choice of reactions and variables 23 2.3.4. Example 1 23 2.4. Mass balance models 24 2.4.1. Introduction 24 2.4.2. Example 2 24 2.4.3. Example 3 25 2.4.4. Matrix representation 25 2.4.4.1. Example 2 (continuation) 26 2.4.4.2. Example 1 (continuation) 26 2.4.5. Gaseous flow 27 2.4.6. Electroneutrality and affinity constants 27 2.4.7. Example 1 (continuation) 28 2.4.8. Conclusion 29 2.5. Kinetics 30 2.5.1. Introduction 30 2.5.2. Mathematical constraints 30 2.5.2.1. Positivity of variables 30 2.5.2.2. Variables necessary for the reaction 31 2.5.2.3. Example 1 (continuation) 31 2.5.2.4. Phenomenological knowledge 31 2.5.3. Specific growth rate 32 2.5.4. Representation of kinetics by means of a neural network 34 2.6. Validation of the model 35 2.6.1. Introduction 35 2.6.2. Validation of the reaction scheme 35 2.6.2.1. Mathematical principle 35 2.6.2.2. Example 4 36 2.6.3. Qualitative validation of model 37 2.6.4. Global validation of the model 39 2.7. Properties of the models 39 2.7.1. Boundedness and positivity of variables 39 2.7.2. Equilibrium points and local behavior 40 2.7.2.1. Introduction 40 2.8. Conclusion 42 2.9. Bibliography 43 Chapter 3. Identification of Bioprocess Models 47 Denis DOCHAIN and Peter VANROLLEGHEM 3.1. Introduction 47 3.2. Structural identifiability 48 3.2.1. Development in Taylor series 49 3.2.2. Generating series 50 3.2.3. Examples for the application of the methods of development in series 50 3.2.4. Some observations on the methods for testing structural identifiability 51 3.3. Practical identifiability 52 3.3.1. Theoretical framework 52 3.3.2. Confidence interval of the estimated parameters 54 3.3.3. Sensitivity functions 55 3.4. Optimum experiment design for parameter estimation (OED/PE) 57 3.4.1. Introduction 57 3.4.2. Theoretical basis for the OED/PE 59 3.4.3. Examples 61 3.5. Estimation algorithms 63 3.5.1. Choice of two datasets 63 3.5.2. Elements of parameter estimation: least squares estimation in the linear case 64 3.5.3. Overview of the parameter estimation algorithms 65 3.6. A case study: identification of parameters for a process modeled for anaerobic digestion 68 3.6.1. The model 69 3.6.2. Experiment design 70 3.6.3. Choice of data for calibration and validation 70 3.6.4. Parameter identification 71 3.6.5. Analysis of the results 75 3.7. Bibliography 75 Chapter 4. State Estimation for Bioprocesses 79 Olivier BERNARD and Jean-Luc GOUZÉ 4.1. Introduction 79 4.2. Notions on system observability 80 4.2.1. System observability: definitions 80 4.2.2. General definition of an observer 81 4.2.3. How to manage the uncertainties in the model or in the output 83 4.3. Observers for linear systems 84 4.3.1. Luenberger observer 85 4.3.2. The linear case up to an output injection 86 4.3.3. Local observation of a nonlinear system around an equilibrium point 86 4.3.4. PI observer 87 4.3.5. Kalman filter 87 4.3.6. The extended Kalman filter 89 4.4. High gain observers 89 4.4.1. Definitions, hypotheses 89 4.4.2. Change of variable 90 4.4.3. Fixed gain observer 91 4.4.4. Variable gain observers (Kalman-like observer) 91 4.4.5. Example: growth of micro-algae 92 4.5. Observers for mass balance-based systems 94 4.5.1. Introduction 94 4.5.2. Definitions, hypotheses 96 4.5.3. The asymptotic observer 96 4.5.4. Example 98 4.5.5. Improvements 99 4.6. Interval observers 101 4.6.1. Principle 102 4.6.2. The linear case up to an output injection 103 4.6.3. Interval estimator for an activated sludge process 105 4.6.4. Bundle of observers 107 4.7. Conclusion 110 4.8. Appendix: a comparison theorem 111 4.9. Bibliography 112 Chapter 5. Recursive Parameter Estimation 115 Denis DOCHAIN 5.1. Introduction 115 5.2. Parameter estimation based on the structure of the observer 116 5.2.1. Example: culture of animal cells 116 5.2.2. Estimator based on the structure of the observer 117 5.2.3. Example: culture of animal cells (continued) 119 5.2.4. Calibration of the estimator based on the structure of the observer: theory 119 5.2.5. Calibration of the estimator based on the structure of the observer: application to the culture of animal cells 124 5.2.6. Experimental results 127 5.3. Recursive least squares estimator 129 5.4. Adaptive state observer 133 5.4.1. Generalization 138 5.5. Conclusions 140 5.6. Bibliography 141 Chapter 6. Basic Concepts of Bioprocess_Control 143 Denis DOCHAIN and Jérôme HARMAND 6.1. Introduction 143 6.2.1. Biological system dynamics 144 6.2.2. Sources of uncertainties and disturbances of biological systems 146 6.3. Stability of biological processes 147 6.3.1. Basic concept of the stability of a dynamic system 147 6.3.2. Equilibrium point 148 6.3.3. Stability analysis 149 6.4. Basic concepts of biological process control 150 6.4.1. Regulation and tracking control 150 6.4.2. Strategy selection: direct and indirect control 151 6.2. Bioprocess control: basic concepts 144 6.4.3. Selection of synthesis method 152 6.5. Synthesis of biological process control laws 153 6.5.1. Representation of systems 153 6.5.2. Structure of control laws 154 6.6. Advanced control laws 160 6.6.1. A nonlinear PI controller 160 6.6.2. Robust control 162 6.7. Specific approaches 165 6.7.1. Pulse control: a dialog with bacteria 165 6.7.2. Overall process optimization: towards integrating the control objectives in the initial stage of bioprocess design 167 6.8. Conclusions and perspectives 170 6.9. Bibliography 170 Chapter 7. Adaptive Linearizing Control and Extremum-Seeking Control of Bioprocesses 173 Denis DOCHAIN, Martin GUAY, Michel PERRIER and Mariana TITICA 7.1. Introduction 173 7.2. Adaptive linearizing control of bioprocesses 174 7.2.1. Design of the adaptive linearizing controller 174 7.2.2. Example 1: anaerobic digestion 176 7.2.2.1. Model order reduction 177 7.2.2.2. Adaptive linearizing control design 179 7.2.3. Example 2: activated sludge process 183 7.3. Adaptive extremum-seeking control of bioprocesses 188 7.3.1. Fed-batch reactor model 189 7.3.2. Estimation and controller design 191 7.3.2.1. Estimation equation for the gaseous outflow rate y 191 7.3.2.2. Design of the adaptive extremum-seeking controller 192 7.3.2.3. Stability and convergence analysis 195 7.3.2.4. A note on dither signal design 196 7.3.3. Simulation results 197 7.4. Appendix: analysis of the parameter convergence 202 7.5. Bibliography 207 Chapter 8. Tools for Fault Detection and Diagnosis 211 Jean-Philippe STEYER, Antoine GÉNOVÉSI and Jérôme HARMAND 8.1. Introduction 211 8.2. General definitions 212 8.2.1. Terminology 212 8.2.2. Fault types 213 8.3. Fault detection and diagnosis 214 8.3.1. Methods based directly on signals 215 8.3.1.1. Hardware redundancy 215 8.3.1.2. Specific sensors 216 8.3.1.3. Comparison of thresholds 217 8.3.1.4. Spectral analysis 217 8.3.1.5. Statistical approaches 218 8.3.2. Model-based methods 218 8.3.2.1. Parity space 219 8.3.2.2. Observers 220 8.3.2.3. Parametric estimation 221 8.3.3. Methods based on expertise 222 8.3.3.1. AI models 223 8.3.3.2. Artificial neural networks 224 8.3.3.3. Fuzzy inference systems 225 8.3.4. Choice and combined use of diverse methods 227 8.4. Application to biological processes 227 8.4.1. “Simple” biological processes 228 8.4.2. Wastewater treatment processes 229 8.5. Conclusion 231 8.6. Bibliography 232 List of Authors 239 Index 241
£154.76
ISTE Ltd and John Wiley & Sons Inc Artificial Beings: The Conscience of a Conscious Machine
Book SynopsisIt is almost universally agreed that consciousness and possession of a conscience are essential characteristics of human intelligence. While some believe it to be impossible to create artificial beings possessing these traits, and conclude that ultimate major goal of Artificial Intelligence is hopeless, this book demonstrates that not only is it possible to create entities with capabilities in both areas, but that they demonstrate them in ways different from our own, thereby showing a new kind of consciousness. This latter characteristic affords such entities performance beyond the reach of humans, not for lack of intelligence, but because human intelligence depends on networks of neurons which impose processing restrictions which do not apply to computers. At the beginning of the investigation of the creation of an artificial being, the main goal was not to study the possibility of whether a conscious machine would possess a conscience. However, experimental data indicate that many characteristics implemented to improve efficiency in such systems are linked to these capacities. This implies that when they are present it is because they are essential to the desired performance improvement. Moreover, since the goal is not to imitate human behavior, some of these structural characteristics are different from those displayed by the neurons of the human brain - suggesting that we are at the threshold of a new scientific field, artificial cognition, which formalizes methods for giving cognitive capabilities to artificial entities through the full use of the computational power of machines.Table of ContentsAcknowledgements ix Note on the Terminology xi Chapter 1. Presenting the Actors 1 1.1. The book 1 1.2. Human and artificial beings 4 1.3. The computer 7 1.4. The author 9 1.5. CAIA, an artificial AI scientist 11 1.6. The research domains of CAIA 15 1.7. Further reading 19 Chapter 2. Consciousness and Conscience 21 2.1. Several meanings of “consciousness” 22 2.2. Extending the meaning of “conscience” for artificial beings 25 2.3. Why is it useful to build conscious artificial beings with a conscience? 29 2.4. Towards an artificial cognition 31 2.4.1. A new kind of consciousness 32 2.4.2. A new kind of conscience 33 Chapter 3. What Does “Itself” Mean for an Artificial Being? 35 3.1. Various versions of an individual 36 3.1.1. The concept of an individual for human beings 36 3.1.2. The boundaries of an artificial being 39 3.1.3. Passive and active versions of an individual 41 3.1.4. Reflexivity 47 3.2. Variants of an individual 49 3.2.1. An individual changes with time 50 3.2.2. Learning by comparing two variants 50 3.2.3. Genetic algorithms 52 3.2.4. The bootstrap 54 3.3. Cloning artificial beings 57 3.3.1. Cloning an artificial being is easy 57 3.3.2. Cloning artificial beings is useful 58 3.4. Dr. Jekyll and Mr. Hyde 61 3.5. The Society of Mind 63 3.6. More on the subject 65 Chapter 4. Some Aspects of Consciousness 67 4.1. Six aspects of consciousness 68 4.1.1. One is in an active state 68 4.1.2. One knows what one is doing 72 4.1.3. One examines his/its internal state 80 4.1.4. One knows what one knows 84 4.1.5. One has a model of oneself 87 4.1.6. One knows that one is different from the other individuals 90 4.2. Some limits of consciousness 92 4.2.1. Some limits of consciousness for man 93 4.2.2. Some limits of consciousness for artificial beings 100 Chapter 5. Why is Auto-observation Useful? 105 5.1. Auto-observation while carrying out a task 105 5.1.1. To guide toward the solution 106 5.1.2. To avoid dangerous situations 111 5.1.3. To detect mistakes 121 5.1.4. To find where one has been clumsy 125 5.1.5. To generate a trace 126 5.2. Auto-observation after the completion of a task 129 5.2.1. Creation of an explanation 130 5.2.2. Using an explanation 133 5.2.3. Finding anomalies 138 Chapter 6. How to Observe Oneself 143 6.1. Interpreting 146 6.2. Adding supplementary orders 150 6.3. Using timed interruptions 154 6.4. Using the interruptions made by the operating system 158 6.5. Knowing its own state 159 6.6. Examining its own knowledge 160 6.7. The agents of the Society of Mind. 165 6.8. The attention 166 6.9. What is “I” 169 Chapter 7. The Conscience 173 7.1. The conscience of human beings 174 7.2. The conscience of an artificial being 179 7.3. Laws for artificial beings 183 7.3.1. Asimov’s laws of robotics 183 7.3.1. How can moral laws be implemented? 184 7.3.3. The present situation 191 Chapter 8. Implementing a Conscience 195 8.1. Why is a conscience helpful? 197 8.1.1. The conscience helps to solve problems 197 8.1.2. The conscience helps to manage its life 198 8.1.3. Two ways to define moral knowledge 199 8.1.4. Who benefits from the conscience of an artificial being? 200 8.2. The conscience of CAIA. 201 8.3. Implicit principles 202 8.4. Explicit principles 206 8.5. The consciences in a society of individuals 215 8.5.1. The Society of Mind. 216 8.5.2. Genetic algorithms 217 Chapter 9. Around the Conscience 219 9.1. Emotions 220 9.2. Changing its conscience 223 9.3. A new human conscience for our relationships with artificial beings 228 Chapter 10. What is the Future for CAIA? 237 Appendices 239 1. Constraint Satisfaction Problems 239 2. How to implement some aspects of consciousness 253 Bibliography 263 Index 269
£125.06
ISTE Ltd and John Wiley & Sons Inc New Autonomous Systems
Book SynopsisThe idea of autonomous systems that are able to make choices according to properties which allow them to experience, apprehend and assess their environment is becoming a reality. These systems are capable of auto-configuration and self-organization. This book presents a model for the creation of autonomous systems based on a complex substratum, made up of multiple electronic components that deploy a variety of specific features. This substratum consists of multi-agent systems which act continuously and autonomously to collect information from the environment which they then feed into the global system, allowing it to generate discerning and concrete representations of its surroundings. These systems are able to construct a so-called artificial corporeity which allows them to have a sense of self, to then behave autonomously, in a way reminiscent of living organisms.Table of ContentsIntroduction ix List of Algorithms xi Chapter 1 Systems and their Design 1 1.1 Modeling systems 1 1.1.1 Conventional systems 2 1.1.2 Complex systems 3 1.1.3 System of systems 3 1.2 Autonomous systems 5 1.3 Agents and multi-agent systems 6 1.3.1 The weak notion of agent 7 1.3.2 The strong notion of agent 7 1.3.3 Cognitive agents and reactive agents 8 1.3.4 Multi-agent systems 9 1.3.5 Reactive agent-based MAS 10 1.3.6 Cognitive agent-based MAS 11 1.4 Systems and organisms 13 1.5 The issue of modeling an autonomous system 13 Chapter 2 The Global Architecture of an Autonomous System 17 2.1 Introduction 17 2.2 Reactivity of a system 17 2.3 The basic structure of an autonomous system: the substratum 18 2.3.1 A detailed example: smoothing the flow or urban traffic 20 2.4 The membrane of autonomous systems 22 2.4.1 Membrane and information 25 2.5 Two types of proactivity and the notion of artificial organ 26 2.5.1 Weak proactivity 26 2.5.2 Strong proactivity 27 2.5.3 Measuring proactivity with dynamic graphs 30 2.6 Autonomy and current representation 31 2.6.1 Current representation in an autonomous system 32 2.7 The unifying system that generates representations 33 Chapter 3 Designing a Multi-agent Autonomous System 41 3.1 Introduction 41 3.2 The object layer on the substratum 41 3.3 The agent representation of the substratum: interface agents, organs and the notion of sensitivity 44 3.3.1 Artificial organs 46 3.3.2 Sensitivity of the corporeity 47 3.4 The interpretation system and the conception agents 47 3.4.1 The properties of a conception agent in the interpretation system 49 3.4.2 An example 52 3.4.3 Creating a conception agent 57 3.5 Aggregates of conception agents 58 3.6 The intent and the activity of conception agents 60 3.7 Agentifying conception agents 63 3.8 Activity of a conception agent 65 3.9 The three layers of conceptual agentification and the role of control 70 3.9.1 First guiding principle for the architecture of an autonomous system 74 3.10 Semantic lattices and the emergence of representations in the interpretation system 77 3.11 The general architecture of the interpretation system 84 3.12 Agentification of knowledge and organizational memory 86 3.13 Setting up the membrane network of an autonomous system 94 3.14 Behavioral learning of the autonomous system 96 Chapter 4 Generation of Current Representation and Tendencies 105 4.1 Introduction 105 4.2 Generation of current representation and semantic lattices 105 4.2.1 Openness and deployment: major properties of autonomous systems 106 4.2.2 Incentive-based control and evaluation agents 107 4.2.3 Evaluation agents’ access to organizational memory 110 4.2.4 The role of evaluation agents in the extracted lattice 110 4.2.5 The notion of dynamic lattices 110 4.2.6 Algorithms for generating representations 111 4.2.7 Mathematical interpretation 115 4.3 The cause leading the system to choose a concrete intent 116 4.3.1 Determination of intent 118 4.3.2 Intent and tendencies 120 4.4 Presentation of artificial tendencies 123 4.5 Algorithm for the generation of a stream of representations under tendencies 134 Chapter 5 The Notions of Point of View, Intent and Organizational Memory 137 5.1 Introduction 137 5.2 The notion of point of view in the generation of representations 137 5.3 Three organizational principles of the interpretation system for leading the intent 144 5.3.1 Principle of continuity engagement 145 5.3.2 The bifurcation principle 146 5.3.3 The principle of necessary reason and reliability 147 5.4 Algorithms for intent decisions 147 5.6 Organizational memory and the representation of artificial life experiences 151 5.7 Effective autonomy and the role of the modulation component 156 5.8 Degree of organizational freedom 159 Chapter 6 Towards the Minimal Self of an Autonomous System 161 6.1 Introduction 161 6.2 The need for tendencies when leading the system 161 6.3 Needs and desires of the autonomous system 164 6.4 A scaled-down autonomous system: the artificial proto-self 168 6.5 The internal choice of expressed tendencies and the minimal self 171 6.6 The incentive to produce representations 176 6.7 Minimal self affectivity: emotions and sensations 179 6.8 Algorithms for tendency activation 182 6.9 The feeling of generating representations 188 Chapter 7 Global Autonomy of Distributed Autonomous Systems 197 7.1 Introduction 197 7.2 Enhancement of an autonomous system by itself 197 7.3 Communication among autonomous systems in view of their union 201 7.4 The autonomous meta-system composed of autonomous systems 204 7.5 The system generating autonomous systems: the meta-level of artificial living 207 Conclusion 211 Bibliography 213 Index 215
£125.06
ISTE Ltd and John Wiley & Sons Inc From Prognostics and Health Systems Management to
Book SynopsisThis book addresses the steps needed to monitor health assessment systems and the anticipation of their failures: choice and location of sensors, data acquisition and processing, health assessment and prediction of the duration of residual useful life. The digital revolution and mechatronics foreshadowed the advent of the 4.0 industry where equipment has the ability to communicate. The ubiquity of sensors (300,000 sensors in the new generations of aircraft) produces a flood of data requiring us to give meaning to information and leads to the need for efficient processing and a relevant interpretation. The process of traceability and capitalization of data is a key element in the context of the evolution of the maintenance towards predictive strategies.Table of ContentsIntroduction ix Chapter 1. PHM and Predictive Maintenance 1 1.1. Anticipative maintenance and prognostics 1 1.1.1. New challenges and evolution of the maintenance function 1 1.1.2. Towards an anticipation of failure mechanisms 3 1.2. Prognostics and estimation of the remaining useful life (RUL) 5 1.2.1. What is it? Definition and measures of prognostics 5 1.2.2. How? Prognostic approaches 6 1.3. From data to decisions: the PHM process 9 1.3.1. Detection, diagnostics and prognostics 9 1.3.2. CBM Architecture and PHM process 10 1.4. Scope of the book 12 Chapter 2. Acquisition: From System to Data 15 2.1. Motivation and content 15 2.2. Critical components and physical parameters 16 2.2.1. Choice of critical components – general approach 16 2.2.2. Dependability analysis of the system and related tools 17 2.2.3. Physical parameters to be observed 19 2.3. Data acquisition and storage 20 2.3.1. Choice of sensors 22 2.3.2. Data acquisition 23 2.3.3. Preprocessing and data storage 24 2.4. Case study: toward the PHM of bearings 25 2.4.1. From the “train” system to the critical component “bearing” 25 2.4.2. Experimental platform Pronostia 26 2.4.3. Examples of obtained signals 30 2.5. Partial synthesis 30 Chapter 3. Processing: From Data to Health Indicators 33 3.1. Motivation and content 33 3.2. Feature extraction 35 3.2.1. Mapping approaches 35 3.2.2. Temporal and frequency features 36 3.2.3. Time–frequency features 38 3.3. Feature reduction/selection 48 3.3.1. Reduction of the feature space 48 3.3.2. Feature selection . 54 3.4. Construction of health indicators 62 3.4.1. An approach based on the Hilbert-Huang transform 62 3.4.2. Approach description and illustrative elements 62 3.5. Partial synthesis 63 Chapter 4. Health Assessment, Prognostics and Remaining Useful Life – Part A 67 4.1. Motivation and content 67 4.2. Features prediction by means of connectionist networks 69 4.2.1. Long-term connectionist predictive systems 69 4.2.2. Prediction by means of “fast” neural networks 77 4.2.3. Applications in PHM problems and discussion 84 4.3. Classification of states and RUL estimation 88 4.3.1. Health state assessment without a priori information about the data 88 4.3.2. Toward increased performances: S-MEFC algorithm 93 4.3.3. Dynamic thresholding procedure 95 4.4. Application and discussion 97 4.4.1. Tests data and protocol 97 4.4.2. Illustration of the dynamic thresholding procedure 101 4.4.3. Performances of the approach 104 4.5. Partial synthesis 105 Chapter 5. Health Assessment, Prognostics, and Remaining Useful Life – Part B 109 5.1. Motivation and object 109 5.2. Modeling and estimation of the health state 111 5.2.1. Fundamentals: the Hidden Markov Models (HMM) 111 5.2.2. Extension: mixture of Gaussians HMMs 117 5.2.3. State estimation by means of Dynamic Bayesian Networks 118 5.3. Behavior prediction and RUL estimation 124 5.3.1. Approach: Prognostics by means of DBNs 124 5.3.2. Learning of state sequences 124 5.3.3. Health state detection and RUL estimation 126 5.4. Application and discussion 129 5.4.1. Data and protocol of the tests 129 5.4.2. Health state identification 131 5.4.3. RUL estimation 133 5.5. Partial synthesis 135 Conclusion and Open Issues 137 Bibliography 143 Index 163
£125.06
John Wiley & Sons Inc Power Transmission and Motion Control: PTMC 1998
Book SynopsisIn order to solve a particular motion control problem the engineer is initially faced with the task of selecting an appropriate power transmission medium. This is frequently followed by modelling and simulation of the proposed solution in concert with control system analysis and design. The process involves both synthesis and analysis and, in some instances, can be particularly challenging to the engineer. This text covers all aspects of this power transmisison and motion control with particular emphasis placed on current international research and development. This collection of papers should be of value to researchers and practitioners working in the power transmision and motion control community.Table of ContentsDesign; simulation; applications; drives and controls; components and fluids; control - I; control - II.
£315.86
Momentum Press The Concise Valve Handbook, Volume I: Sizing and Construction
Book SynopsisThis two-volume book comprises a comprehensive up-to-date body of knowledge that provides a total in-depth insight into valve and actuator technology – looking not just at control valves, but a whole host of other types including: check valves, shut-off valves, solenoid valves, and pressure relief valves. Research studies within the process industry routinely indicate that the fluid control valve is responsible for 60 to 70% of poor-functioning control systems. Furthermore, valves in general are consistently wrongly selected, regularly misapplied, and often incorrectly installed. A methodology is presented to ensure the optimum selection of size, choice of body and trim materials, components, and ancillaries. Whilst studying the correct procedures for sizing, readers will also learn the correct procedures for calculating the spring 'wind-up' or 'bench set'. Maintenance issues also include: testing for deadband/hysteresis, stick-slip and non-linearity; on-line diagnostics; and signature analysis. Written in a detailed but understandable language, the two volumes are presented in a form suitable for both the beginner, with no prior knowledge of the subject, and the more advanced specialist.
£38.66
Momentum Press The Concise Valve Handbook, Volume II: Actuation, Maintenance, and Safety Relief
Book SynopsisThis two-volume book comprises a comprehensive up-to-date body of knowledge that provides a total in-depth insight into valve and actuator technology – looking not just at control valves, but a whole host of other types including: check valves, shut-off valves, solenoid valves, and pressure relief valves. Research studies within the process industry routinely indicate that the fluid control valve is responsible for 60 to 70% of poor-functioning control systems. Furthermore, valves in general are consistently wrongly selected, regularly misapplied, and often incorrectly installed. A methodology is presented to ensure the optimum selection of size, choice of body and trim materials, components, and ancillaries. Whilst studying the correct procedures for sizing, readers will also learn the correct procedures for calculating the spring 'wind-up' or 'bench set'. Maintenance issues also include: testing for deadband/hysteresis, stick-slip and non-linearity; on-line diagnostics; and signature analysis. Written in a detailed but understandable language, the two volumes are presented in a form suitable for both the beginner, with no prior knowledge of the subject, and the more advanced specialist.
£38.66
Springer Nature Switzerland AG Advances in Service and Industrial Robotics: Proceedings of the 27th International Conference on Robotics in Alpe-Adria Danube Region (RAAD 2018)
Book SynopsisThis volume contains the proceedings of the RAAD 2018 conference, covering major areas of research and development in robotics. It provides an overview on the advances in robotics, more specifically in novel design and applications of robotic systems; dexterous grasping, handling and intelligent manipulation; intelligent cooperating and service robots; advanced robot control; human-robot interfaces; robot vision systems and visual serving techniques; mobile robots; humanoid and walking robots; field and agricultural robotics; bio-inspired and swarm robotic systems; developments towards micro and nano-scale robots; aerial, underwater and spatial robots; robot integration in holonic manufacturing; personal robots for ambient assisted living; medical robots and bionic prostheses; intelligent information technologies for cognitive robots etc. The primary audience of the work are researchers as well as engineers in robotics and mechatronics. Table of Contents
£161.99
Springer Nature Switzerland AG Submarine Hydrodynamics
Book SynopsisThis book covers specific aspects of submarine hydrodynamics in a very practical manner. The author reviews basic concepts of ship hydrodynamics and goes on to show how they are applied to submarines, including a look at the use of physical model experiments. The book is intended for professionals working in submarine hydrodynamics, as well as for advanced students in the field.This revised edition includes updated information on empirical methods for predicting the hydrodynamic manoeuvring coefficients, and for predicting the resistance of a submarine. It also includes new material on how to assess propulsors, and includes measures of wake distortion, which has a detrimental influence on propulsor performance. Additional information on safe manoeuvring envelopes is also provided. The wide range of references has been updated to include the latest material in the field.Table of Contents1 Introduction.- 2 Hydrostatics and Control.- 3 Manoeuvring and Control.- 4 Resistance and Flow.- 5 Propulsion.- 6 Appendage Design.- Hydro-Acoustic Performance.
£85.49
Springer Nature Switzerland AG Truncated Predictor Based Feedback Designs for
Book SynopsisThis monograph is the first of its kind to present innovative research results on truncated predictor feedback (TPF) designs for general linear systems with input delay. Beginning with a brief review of time delay systems, the first half of the book focuses on TPF with a constant feedback parameter. Both state feedback and output feedback are considered. It is established that TPF achieves stabilization in the presence of an arbitrarily large bounded delay if the open loop system is not exponentially unstable. Examples are presented to illustrate that TPF may fail to stabilize an exponentially unstable system when the delay is sufficiently large. Bounds on the delay are then established under which stabilization can be achieved. The second half of the book explores variations of the TPF laws designed with a non-constant feedback parameter to accommodate unknown delays and improve closed-loop performance. The authors employ a step-by-step approach to presenting the ultimate result on a completely delay-independent feedback law. Truncated Predictor Based Feedback Designs for Linear Systems with Input Delay will appeal to control engineers, control theorists, and graduate students studying control systems. This volume will also be a valuable resource for engineers and applied mathematicians interested in dynamic systems with time delays.Table of ContentsPreface.- Notation.- Introduction.- Truncated Predictor Feedback for Continuous-Time Linear Systems.- Truncated Predictor Feedback for Continuous-Time Linear Systems for Discrete-Time Linear Systems.- Truncated Predictor Feedback for Exponentially Unstable Linear Systems.- Delay Independent Truncated Predictor Feedback.- Adaptive Feedback Laws to Accommodate Unknown Delay.- Conclusions.
£98.99
Springer Nature Switzerland AG Technical Foundations of Embedded Systems:
Book SynopsisThis textbook offers a comprehensive introduction to the methodological and technical knowledge necessary for the development of embedded systems. At first, the foundations of embedded systems from the fields of electronics, systems theory and control theory are introduced for computer scientists and engineers without extensive knowledge of electrical engineering. Subsequently, system components as well as digital communication between embedded system nodes are discussed. The book ends with procedures for the analysis of embedded systems and for real-time processing. It is aimed at students and users of computer science as well as engineers, physicists and mathematicians who are interested in the basics of developing embedded systems.Table of ContentsElectrical and electronic basics.- Electrotechnical basics.- Electrical networks.- Basic electronic circuits.- Systems theory.- Control theory.- Signal processing
£49.49
Springer Nature Switzerland AG Controllability of Singularly Perturbed Linear
Book SynopsisThis monograph provides a comprehensive analysis of the control of singularly perturbed time delay systems. Expanding on the author’s previous work on controllability of linear systems with delays in the state and control variables, this volume’s comprehensive coverage makes it a valuable addition to the field. Each chapter is self-contained, allowing readers to study them independently or in succession.After a brief introduction, the book systematically examines properties of different classes of singularly perturbed time delay systems, including linear time-dependent systems with multiple point-wise and distributed state delays. The author then considers more general singularly perturbed systems with state and control delays. Euclidean space controllability for all of these systems is also discussed, using numerous examples from real-life models throughout the text to illustrate the results presented. More technically complicated proofs are presented in separate subsections. The final chapter includes a section dedicated to non-linear time delay systems.This book is ideal for researchers, engineers, and graduate students in systems science and control theory. Other applied mathematicians and researchers working in biology and medicine will also find this volume to be a valuable resource.Trade Review“This book is a comprehensive description of known results on the controllability of possibly non-autonomous two-time-scales singularly perturbed control systems with linear dynamics. … The results are based on a series of papers by the author himself. The proofs given in the book provide more details, and most results are obtained here in a generalized setting … . All results are richly illustrated by academic and application oriented examples.” (Mario Sigalotti, Mathematical Reviews, October, 2022)The book is rich in content and detailed in proof. One of the biggest features of this book is that theoretical results, obtained in the book, are illustrated by numerous examples … which is more convenient for readers to read and understand. The book can be helpful for researchers and engineers, working in … electrical engineering, mechanical and aerospace engineering … .” (Liping Chen, zbMATH 1472.93014, 2021)Table of ContentsIntroduction.- Singularly Perturbed Linear Time Delay Systems.- Euclidean Space Output Controllability of Linear Systems with State Delays.- Complete Euclidean Space Controllability of Linear Systems with State and Control Delays.- First-Order Euclidean Space Controllability Conditions for Linear Systems with Small State Delays.- Miscellanies
£82.49
Springer Nature Switzerland AG Sliding-Mode Fuzzy Controllers
Book SynopsisThis book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability.Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers. The main features of this book include:• a review of various existing structures of sliding-mode fuzzy control;• a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis;• state-of-the-art procedures for the design of a sliding-mode fuzzy controller;• source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers;• a short bibliography for each chapter for readers interested in learning more on a particular subject; and• illustrative examples and simulation results to support the main claims made in the text.Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones.Table of ContentsMathematica Preliminaries.- Fuzzy and Fuzzy Neural-Network Systems: Type 1 and Type 2.- Sliding-Mode Control: Design, Advantages and Challenges.- Sliding-Mode Fuzzy-Logic Controllers.- Sliding-Mode Fuzzy Neural-Network Controllers.- Sliding-Mode Fuzzy Neural-Network Controllers to Control Systems over Networks.- Simulation Results.
£80.99
Springer Nature Switzerland AG Makers at School, Educational Robotics and
Book SynopsisThis open access book contains observations, outlines, and analyses of educational robotics methodologies and activities, and developments in the field of educational robotics emerging from the findings presented at FabLearn Italy 2019, the international conference that brought together researchers, teachers, educators and practitioners to discuss the principles of Making and educational robotics in formal, non-formal and informal education.The editors’ analysis of these extended versions of papers presented at FabLearn Italy 2019 highlight the latest findings on learning models based on Making and educational robotics. The authors investigate how innovative educational tools and methodologies can support a novel, more effective and more inclusive learner-centered approach to education. The following key topics are the focus of discussion: Makerspaces and Fab Labs in schools, a maker approach to teaching and learning; laboratory teaching and the maker approach, models, methods and instruments; curricular and non-curricular robotics in formal, non-formal and informal education; social and assistive robotics in education; the effect of innovative spaces and learning environments on the innovation of teaching, good practices and pilot projects. Table of ContentsIntroduction.- Chapter 1. Introduction to the Main Topics.- Chapter 2. Keynotes.- Chapter 3. Maker Spaces and Fablabs at school: a maker approach to teaching and learning.- Chapter 4. Laboratory Teaching with the makers approach: models, methods and instruments.- Chapter 5. Curricular and not curricular robotics in formal, non-formal and informal education.- Chapter 6. Educational technologies and assistive robotics.- Chapter 7. How innovative spaces and learning environment condition the transformation of teaching: good practices and pilot projects.- Conclusions
£42.74
Springer Nature Switzerland AG Robotics and Control: Fundamental Algorithms in
Book SynopsisThis textbook offers a tutorial introduction to robotics and control which is light and easy to absorb. The practice of robotics and control both involve the application of computational algorithms to data. Over the fairly recent history of the fields of robotics and control a very large body of algorithms has been developed. However this body of knowledge is something of a barrier for anybody entering the field, or even looking to see if they want to enter the field — What is the right algorithm for a particular problem?, and importantly: How can I try it out without spending days coding and debugging it from the original research papers? The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics and one for vision. The key strength of the Toolboxes provides a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used —instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself. The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and control separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and control. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, and covers both mobile robots (control, path planning, navigation, localization and SLAM) and arm robots (forward and inverse kinematics, Jacobians, dynamics and joint level control). “An authoritative book, reaching across fields, thoughtfully conceived and brilliantly accomplished!” Oussama Khatib, StanfordTrade Review“Written in a light but quite informative style, the book is intended for students and scientists and should be of interest to practicing and research engineers as well as Ph.D. students in the field of modeling and control of spatial mechanisms, manipulators and robots.” (Clementina Mladenova, zbMATH 1492.93004, 2022)Table of ContentsIntroduction.- Representing Position and Orientation.- Time and Motion.- Mobile Robots.- Navigation.- Localization.- Robot Arm Kinematics,- Manipulator Velocity.- Dynamics and Control.- Appendices.
£42.74
Springer Nature Switzerland AG Advances in Intelligent Automation and Soft
Book SynopsisThis book presents select proceedings of the International Conference on Intelligent Automation and Soft Computing (IASC2021). Various topics covered in this book include AI algorithm, neural networks, pattern recognition, machine learning, blockchain technology, system engineering, computer vision and image processing, adaptive control and robotics, big data and data processing, networking and security. The book is a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, automation, and soft computing. Table of ContentsApplication of the Optimal Lntegrated Medical Intelligence System to Strengthen Physical Lmmunity.- Simultaneous Detection of Optic Disc and Macular Concave Center Using Artificial Intelligence Target Detection Algorithms.- Cuckoo Optimization Algorithm Visual Positioning System Based on Particle Swarm Algorithm.- An Improved Lion Swarm Algorithm Based on Reinforcement Learning.- Research on Intelligent Testing Method of Automobiles Fuel Consumption Based on Ultrasonic Technology.- Discovering the Coopetition Relationship Between Agents Using Clustering.- An Oxygen Forecasting Strategy for Waterless Live Fish Transportation Based on IPSO-GRU Method.- Damping Effect of A Controlled Nonlinear Meso-scale Beam under Periodic Excitation.- Weighted Histogram Block Detection Algorithm for Digital Trunking Terminal.- A GPU-based Energy Saving Algorithm for Smart Buildings.- Dynamic Event-Triggered Control of Networked Control Systems under Sensor and Actuator Faults.
£189.99
Springer Nature Switzerland AG Intelligent Systems and Applications: Proceedings
Book SynopsisThis book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The conference attracted a total of 496 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process. Of the total submissions, 180 submissions have been selected to be included in these proceedings. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. The chapters include theory and application on all aspects of artificial intelligence, from classical to intelligent scope.We hope that readers find the book interesting and valuable; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research. Table of ContentsLexDivPara: A Measure of Paraphrase Quality with Integrated Sentential Lexical Complexity.- The Potential of Machine Learning Algorithms for Sentiment Classification of Students' Feedback on MOOC.- Towards an Automated Language Acquisition System for Grounded Agency.- Automatic Monitoring and Analysis of Brands using Data Extracted from Twitter in Romanian.- Natural Language Processing in the Support of Business Organization Management.- Discovering Influence of Yelp Reviews using Hawkes Point Processes.- Automated Corpus Annotation for Cybersecurity Named Entity Recognition with Small Keyword Dictionary.- Benchmarking Virtual Reinforcement Learning Algorithms to Balance a Real Inverted Pendulum.- Local-Minimum-Free Artificial Potential Field Method for Obstacle Avoidance.- Experimental Design of Artificial Neural-network Solutions for Traffic Sign Recognition.- Spatial Modelling and Microstructural Modulation of Porous Pavement Materials for Seepage Control in Smart Cities.- ViewClassifier: Visual Analytics on Performance Analysis for Imbalanced Fatal Accident Data.
£224.99
Springer Nature Switzerland AG Intelligent Systems and Applications: Proceedings
Book SynopsisThis book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The conference attracted a total of 496 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process. Of the total submissions, 180 submissions have been selected to be included in these proceedings.As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. The chapters include theory and application on all aspects of artificial intelligence, from classical to intelligent scope.We hope that readers find the book interesting and valuable; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research. Table of ContentsZero-Touch Customer Order Fulfillment to Support the New Normal of Retail in the 21st Century.- VitrAI: Applying Explainable AI in the Real World.- Contactless Interface for Navigation in Medical Imaging Systems.- Mobile Apps for 3D Face Scanning.- Tabu Search for Locating-Routing in the Goods Delivery and Waste Pickup in Trujillo-Peru.- The Emergence of Hybrid Edge-Cloud Computing for Energy Efficiency in Buildings.- Particle Swarm Model for Predicting Student Performance in Computing Programs.- A Genetic Algorithm for Quantum Circuit Generation in OpenQASM.- An Improved Clustering-based Harmony Search Algorithm (IC-HS).- Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data.- Electromagnetism-Like Algorithm and Harmony Search for Chemical Kinetics Problem.- Learning Incorrect Verdict Patterns of the Established Face Recognizing CNN Models using Meta-Learning Supervisor ANN.- SmartData: An Intelligent Decision Support System to Predict the Readers Permanence in News.- High Capacity Data Hiding for AMBTC Decompressed Images using Pixel Modification and Difference Expansion.- Fraud Detection in Online Market Research.
£161.99
Springer Nature Switzerland AG Energy Forecasting and Control Methods for Energy
Book SynopsisThis book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions.The global electrical grid is expected to face significant energy and environmental challenges such as greenhouse emissions and rising energy consumption due to the electrification of heating and transport. Today, the distribution network includes energy sources with volatile demand behaviour, and intermittent renewable generation. This has made it increasingly important to understand low voltage demand behaviour and requirements for optimal energy management systems to increase energy savings, reduce peak loads, and reduce gas emissions.Electrical load forecasting is a key tool for understanding and anticipating the highly stochastic behaviour of electricity demand, and for developing optimal energy management systems. Load forecasts, especially of the probabilistic variety, can support more informed planning and management decisions, which will be essential for future low carbon distribution networks. For storage devices, forecasts can optimise the appropriate state of control for the battery. There are limited books on load forecasts for low voltage distribution networks and even fewer demonstrations of how such forecasts can be integrated into the control of storage.This book presents material in load forecasting, control algorithms, and energy saving and provides practical guidance for practitioners using two real life examples: residential networks and cranes at a port terminal.Table of ContentsIntroduction.- Basic tools.- Short term load forecasting.- Control strategies in low voltage network for energy saving.- Optimal control with load forecasting.- Case study: Energy saving based on optimal control and load forecasts.- Conclusion.
£123.49
Springer Nature Switzerland AG Mental Models and Their Dynamics, Adaptation, and
Book SynopsisThis book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans often make use of internal mental models as a kind of blueprints for processes that can take place in the world or in other persons. By internal mental simulation of such a mental model in their brain, they can predict and be prepared for what can happen in the future. Usually, mental models are adaptive: they can be learned, refined, revised, or forgotten, for example. Although there is a huge literature on mental models in various disciplines, a systematic account of how to model them computationally in a transparent manner is lacking. This approach allows for computational modeling of humans using mental models without a need for any algorithmic or programming skills, allowing for focus on the process of conceptualizing, modeling, and simulating complex, real-world mental processes and behaviors. The book is suitable for and is used as course material for multidisciplinary Master and Ph.D. students.Table of ContentsDynamics, Adaptation and Control for Mental Models: A Cognitive Architecture.- Bringing Networks to the Next Level: Self-Modeling Networks for Adaptivity and Control of Mental Models.- On Becoming a Good Driver: Modeling the Learning of a Mental Model.- Controlling Your Mental Models: Using Metacognition to Control Use and Adaptation for Multiple Mental Models.- Disturbed by Flashbacks: a Controlled Adaptive Network Model Addressing Mental Models for Flashbacks from PTSD.
£132.99
Springer Nature Switzerland AG Local Stability and Ultimate Boundedness in the
Book SynopsisThis book offers a unique compendium of the authors´ own research on the use of theoretical stability analysis, showing how to take advantage of local stability design and ultimate boundedness for practical robot control. It addresses researchers and postgraduate students dealing with control theory, particularly with nonlinear systems. Thanks to the numerous worked examples, it could also be used as a textbook in postgraduate courses.Trade Review“The book is stimulating and addressed to a large spectrum of specialists (mechanical, electrical, control engineers and applied mathematicians working in rational mechanics, differential equations and control theory). It can be approached successfully by graduates and post-graduates of the aforementioned fields.” (Vladimir Răsvan, zbMATH 1489.93001, 2022)Table of ContentsA General Overview of Robot Manipulators.- Position, Orientation and Velocity of Rigid Robot Manipulators.- Dynamics of Rigid Robot Manipulators.- Mathematical Background.- Common Control Approaches for Robot Manipulators.
£123.49
Springer Nature Switzerland AG Ground and Air Robotic Manipulation Systems in
Book SynopsisProblems of joint application of heterogeneous ground and air robotic means while performing the agricultural technological tasks that require physical interaction with agricultural products and the environment are discussed in the book. Proposed solutions for the exchange of energy and physical resources of unmanned aerial vehicles on ground service platforms, automation of the process of collecting agricultural products and ensuring the stability of the air manipulation system at physical interaction with a ground object are important for the transport and agricultural industry robotization.The book addresses the researchers investigating interdisciplinary issues of agricultural production robotization, problems of information, physical and energy interaction of ground and air robots; recommended to postgraduates and students studying "Mechatronics and robotics" and "Technologies, mechanization and power equipment in agriculture, forestry and fisheries."Table of ContentsChapter 1: Analysis of Existing Approaches to the Service Automation and to Interaction Control of Heterogeneous Agricultural Robots.- Chapter 2: Models and Algorithms of Interaction between Heterogeneous Agricultural Robots.- Chapter 3: Recommendation System to Select the Composition of the Heterogeneous Agricultural Robots.- Chapter 4: Experimental Estimation of Means Developed for Interaction between Heterogeneous Agricultural Robots.- Chapter 5: Theoretical Foundations to Control Technological and Robotic Operations with Physical Manipulations of Agricultural Products.
£80.99
Springer Nature Switzerland AG Synchronization of Multi-Agent Systems in the
Book SynopsisThis monograph explores the synchronization of large-scale, multi-agent dynamical systems in the presence of disturbances, delays, and time-varying networks. Drawing upon their extensive work in this area, the authors provide a thorough treatment of agents with higher-order dynamics, different classes of models for agents, and the underlying networks representing the agents’ actions. The high technical level of their presentation and their rigorous mathematical approach make this a timely and valuable resource that will fill a gap in the existing literature. Divided into two sections, the first part of the book focuses on state synchronization of homogeneous multi-agent systems. The authors consider state synchronization by determining control strategies for both continuous- and discrete-time systems that achieve state synchronization under both full- and partial-state coupling. The chapters that follow examine multi-agent systems with both linear and nonlinear time-varying agents, input-delays for continuous- and discrete-time systems, and communication delays for continuous-time systems. The second part of the book is dedicated to regulated output synchronization of heterogeneous multi-agent systems with linear and nonlinear agents. Both sections of the book include performance considerations in H2- and H-infinity norms in the presence of external disturbances.Research on synchronization of multi-agent systems has been growing in popularity and is highly interdisciplinary, with applications to automobile systems, aerospace systems, multiple-satellite GPS and high-resolution satellite imagery, aircraft formations, highway traffic platooning, industrial process control with multiple processes, and more. Synchronization of Multi-Agent Systems in the Presence of Disturbances and Delays will therefore be of interest to upper-level graduate students, researchers, and engineers in industry working on interconnected dynamical systems.Trade Review“This book presents a tangible overview of the theory and application of synchronization in a multi-agent system with an eye on disturbance and time delays. It is self-contained with preliminaries, theorem proofs and references. … This book is accessible to anyone studying systems and control theory with an undergraduate level of mathematics.” (Yilun Shang, Mathematical Reviews, October, 2022)Table of ContentsNotation and preliminaries.- Part I Synchronization of homogeneous systems.- Synchronization of continuous-time linear MAS.- Synchronization of discrete-time linear MAS.- Synchronization of linear MAS subject to actuator saturation.- Synchronization of continuous-time MAS with nonlinear time-varying agents.- Synchronization of continuous-time linear MAS with unknown input delay.- Synchronization of discrete-time linear MAS with unknown input delay.- Synchronization of continuous-time linear MAS with unknown communication delay.- Synchronization of discrete-time linear MAS with unknown communication delay.- Synchronization of linear MAS subject to actuator saturation and unknown input delay.- Synchronization of continuous-time linear time-varying MAS.- Synchronization of continuous-time nonlinear time-varying MAS.- H1 and H2 almost synchronization of continuous-time linear MAS.- Part II Synchronization of heterogeneous systems.- Necessary conditions for synchronization of heterogeneous MAS.- Regulated output synchronization of heterogeneous continuous-time linear MAS.- Regulated output synchronization of heterogeneous continuous-time nonlinear MAS.- Regulated output synchronization of heterogeneous continuous-time linear time-varying MAS.- Exact regulated output synchronization for heterogeneous continuous-time MAS in the presence of disturbances and measurement noise with known frequencies.- H1 almost output synchronization for heterogeneous continuous-time MAS.- H2 almost regulated output synchronization for heterogeneous continuous-time MAS.- Almost output synchronization of heterogeneous continuous-time linear MAS with passive agents.- Synchronization of heterogeneous continuous-/and discrete-time linear MAS with introspective agents.- A special coordinate basis (SCB) of linear multivariable systems.- Squaring down of general MIMO systems to invertible uniform rank systems via pre- and/or post-compensators.- Index.- References.
£95.99
Springer Nature Switzerland AG Mathematical Modeling and Simulation of Systems:
Book SynopsisThis book contains works on mathematical and simulation modeling of processes in various domains: ecology and geographic information systems, IT, industry, and project management. The development of complex multicomponent systems requires an increase in accuracy, efficiency, and adequacy while reducing the cost of their creation. The studies presented in the book are useful to specialists who involved in the development of real events models-analog, management and decision-making models, production models, and software products. Scientists can get acquainted with the latest research in various decisions proposed by leading scholars and identify promising directions for solving complex scientific and practical problems. The chapters of this book contain the contributions presented on the 16th International Scientific-practical Conference, MODS, June 28–July 01, 2021, Chernihiv, Ukraine.Table of ContentsMathematical Modeling of Information System Designing Master Plan of the Building Territory Based on OLAP Technology.- Models and information technologies of coverage of the territory by sensors with energy consumption optimization.- Transport of Reactive Tracer in Compacting Multi-fraction Bottom Sediments.- Pillars for establishing a durable and future-proof IT architecture maturing along with the NSC: Approaches from Continuous Integration to Service Mesh.- Optimal Control of Buried Point Sources in a Two-Dimensional Richards-Klute Equation.
£179.99
Springer Nature Switzerland AG Fractional Dynamical Systems: Methods, Algorithms
Book SynopsisThis book presents a wide and comprehensive spectrum of issues and problems related to fractional-order dynamical systems. It is meant to be a full-fledge, comprehensive presentation of many aspects related to the broadly perceived fractional-order dynamical systems which constitute an extension of the traditional integer-order-type descriptions. This implies far-reaching consequences, both analytic and algorithmic, because—in general—properties of the traditional integer-order systems cannot be directly extended by a straightforward generalization to fractional-order systems, modeled by fractional-order differential equations involving derivatives of an non-integer order. This can be useful for describing and analyzing, for instance, anomalies in the behavior of various systems, chaotic behavior, etc. The book contains both analytic contributions with state-of-the-art and theoretical foundations, algorithmic implementation of tools and techniques, and—finally—some examples of relevant and successful practical applications.Table of ContentsFractional Dynamical Systems: State-of-the-Art.- Fractional Dynamical Systems: Mathematical Introduction.- Mixed Logical Dynamical Modeling of Discrete-time Hybrid Fractional Systems.- Fractional Variable-Order Derivative and Difference Operators and Their Applications to Dynamical Systems Modelling.- Asymptotic Behavior of Discrete Fractional Systems.- Fractional Variable-Order Linear System State-State Description Transformations.- Balanced Truncation Model Reduction in Approximation of Nabla Difference-based Discrete-time Fractional-order Systems.- State Feedback Law for Discerte-time Nonlonear Fractional Systems.- Some Specific Properties of Positive Standard and Fractional Interval Systems.- Global Stability of Nonlinear Fractional Dynamical Systems.- Controllability and Minimum Energy Control of Linear Fractional Systems.- Selected Engineering Applications of Fractional-Order Calculus.- Fractional Order State Space Models of One-dimensional Heat Transfer Process.
£123.49
Springer Nature Switzerland AG Advances in Automation and Robotics Research:
Book SynopsisThis book gathers the proceedings of the 3rd Latin American Congress on Automation and Robotics, held at Monterrey, Mexico, on November 17–19, 2021. This book presents recent advances in the modeling, design, control, and development of autonomous and robotic systems and explores current exciting applications and future challenges of these technologies. The scope of this book covers a wide range of research fields associated with automation and robotics encountered within engineering, scientific research, and practice. These topics are related to autonomous systems, industrial automation and robotics, modelling and systems identification, simulation procedures and experimental validations, control theory, artificial intelligence, computer vision, sensing and sensor fusion, multi-robot and multi-agent systems, field and service robotics, human robot interaction and interfaces, modelling of robotic systems, and the design of new robotic platforms.Table of ContentsDecidable Fragments of Calculi Used in CatLog.- Interactive Theorem Proving for Logic and Information.- A Valence Catalogue for Norwegian.- Arabic Computational Linguistics: Potential, Pitfalls and Challenges.
£134.99
Springer Nature Switzerland AG Fundamentals of Mechanics of Robotic Manipulation
Book SynopsisThe book explores the fundamental issues of robot mechanics for both the analysis and design of manipulations, manipulators and grippers, taking into account a central role of mechanics and mechanical structures in the development and use of robotic systems with mechatronic design. It examines manipulations that can be performed by robotic manipulators. The contents of the book are kept at a fairly practical level with the aim to teach how to model, simulate, and operate robotic mechanical systems. The chapters have been written and organized in a way that they can be red even separately, so that they can be used separately for different courses and purposes. The introduction illustrates motivations and historical developments of robotic mechanical systems. Chapter 2 describes the analysis and design of manipulations by automatic machinery and robots; chapter 3 deals with the mechanics of serial-chain manipulators with the aim to propose algorithms for analysis, simulation, and design purposes; chapter 4 introduces the mechanics of parallel manipulators; chapter 5 addresses the attention to mechanical grippers and related mechanics of grasping.Table of ContentsChapter 1: Introduction to Automation and Robotics.- Chapter 2: Analysis of Manipulations.- Chapter 3: Fundamentals of Mechanics of serial Manipulators.- Chapter 4: Fundamentals of Mechanics of Parallel Manipulators.- Chapter 5: Fundamentals of Mechanics of Grasp.
£113.99
Springer Nature Switzerland AG Cybersecurity: A New Approach Using Chaotic
Book SynopsisThis book presents techniques and security challenges of chaotic systems and their use in cybersecurity. It presents the state-of-the-art and the latest discoveries in the field of chaotic systems and methods and proposes new models, practical solutions, and technological advances related to new chaotic dynamical systems. The book can be used as part of the bibliography of the following courses: - Cybersecurity - Cryptography - Networks and Communications Security - Nonlinear Circuits - Nonlinear Systems and ApplicationsTable of ContentsA novel approach for robust S-box construction using a 5-D chaotic map and its application to image cryptosystem.- An image compression-encryption algorithm based on compressed sensing and chaotic oscillator.- Backstepping and sliding mode control of a fractional-order chaotic system.- Quantum oscillations: A promising field for secure communication.- Synchronization of chaotic electroencephalography (EEG) signals.- Secure Communication Scheme Based on Hyperchaotic Systems.
£123.49
Springer Nature Switzerland AG Informatics in Control, Automation and Robotics:
Book SynopsisThe book focuses the latest endeavours relating researches and developments conducted in fields of Control, Robotics and Automation. Through more than ten revised and extended articles, the present book aims to provide the most up-to-date state-of-art of the aforementioned fields allowing researcher, PhD students and engineers not only updating their knowledge but also benefiting from the source of inspiration that represents the set of selected articles of the book.The deliberate intention of editors to cover as well theoretical facets of those fields as their practical accomplishments and implementations offers the benefit of gathering in a same volume a factual and well-balanced prospect of nowadays research in those topics. A special attention toward “Intelligent Robots and Control” may characterize another benefit of this book.
£179.99
Springer Nature Switzerland AG Human-Aware Robotics: Modeling Human Motor Skills
Book SynopsisThis book moves from a thorough investigation of human capabilities during movements and interactions with objects and environment and translates those principles into the design planning and control of innovative mechatronic systems, providing significant advancements in the fields of human–robot interaction, autonomous robots, prosthetics and assistive devices. The work presented in this monograph is characterized by a significant paradigmatic shift with respect to typical approaches, as it always place the human at the center of the technology developed, and the human represents the starting point and the actual beneficiary of the developed solutions. The content of this book is targeted to robotics and neuroscience enthusiasts, researchers and makers, students and simple lovers of the matter.Table of ContentsIntroduction.- Part I: Taming the Complexity of Human Motion Generation.- Understanding the Principal Modes of Natural Movements in Temporal Domain.- Quantifying the Time-Invariance Properties of Upper Limb Synergies.- Evidences on the Hierarchical Control of Human Hands.- Part II: On the Design of Nature-Inspired Prostheses and the Assessment of Motion Impairment.- Using Nature-Inspired Principles to Design of Robotic Limbs: the Soft Wrist.- A Novel Approach to Quantify Motion Impairment.- A novel mechatronic system for evaluating elbow muscular spasticity relying on Tonic Stretch Reflex Threshold estimation.- Part III: Transferring Human Principles to Cobots and Autonomous Robots.- Natural Motion: Embedding Human-Likeliness in Robot Movements.- A Focus on Motion Dynamics: Planning Impedance Behaviors in Physical Interaction.- Learning from Humans How to Grasp: a Reactive-Based Approach.- Learning from Humans How to Grasp: Enhancing the Reaching Strategy.- Learning to prevent grasp failure with soft hands: from on-line prediction to dual-arm grasp recovery.- Dexterity Augmentation of Robotic Hands: a Study on the Kinetic Domain.- Exploiting Principal Components for Robots Walking: an Approach for Sub-Optimal Locomotion.- Conclusions and Lessons Learned.
£104.49
Springer Nature Switzerland AG A Guide to Signals and Systems in Continuous Time
Book SynopsisThis textbook is a concise yet precise supplement to traditional books on Signals and Systems, focusing exclusively on the continuous-time case. Students can use this guide to review material, reinforce their understanding, and see how all the parts connect together in a uniform treatment focused on mathematical clarity. Readers learn the “what”, “why” and “how” about the ubiquitous Fourier and Laplace transforms encountered in the study of linear time-invariant systems in engineering: what are these transforms, why do we need them, and how do we use them? Readers will come away with an understanding of the gradual progression from time-domain analysis to frequency-domain and s-domain techniques for continuous-time linear time-invariant systems. This book reflects the author’s experience in teaching this material for over 25 years in sophomore- and junior-level required engineering courses and is ideal for undergraduate classes in electrical engineering.Table of Contents1. Introduction2. Systems3. Periodic Signals and Fourier Series4. Analysis of Stable Systems using the Fourier Transform5. Sampling and Reconstruction6. Analysis and Control of Systems using the Laplace Transform
£33.24
Springer Nature Switzerland AG Realization and Model Reduction of Dynamical
Book SynopsisThis book celebrates Professor Thanos Antoulas's 70th birthday, marking his fundamental contributions to systems and control theory, especially model reduction and, more recently, data-driven modeling and system identification. Model reduction is a prominent research topic with wide ranging scientific and engineering applications. Table of ContentsPart I: Linear Dynamical Systems: B. Joseph, The rational interpolation problem: Grassmannian and Loewner-matrix approaches.- B. Jean-Paul, The conditioning of a linear barycentric rational interpolant.- D. Zlatko, Learning low-dimensional dynamical-system models from noisy frequency-response data with Loewner rational interpolation.- E. Mark, Pseudospectra of Loewner Matrix Pencils.- R. Paolo, A Loewner matrix approach to the identification of linear time-varying systems.- V. D. Paul, Linear System Matrices of Rational Transfer Functions.- Part II: Nonlinear Dynamical Systems: C. Xingang, Interpolation-based Model Order Reduction for Quadratic-Bilinear Systems and H2 Optimal Approximation.- C. Sridhar, An Adaptive Sampling Approach for the reduced basis method.- K. Boris, Balanced Truncation Model Reduction for Lifted Nonlinear Systems.- L. Sanda, Modeling the buck converter from measurements of its Harmonic Transfer Function.- P. Mihaly, Model reduction and realization theory of linear switched systems.- Part III: Structured Dynamical Systems: F. F. Damasceno, Developments in the Computation of Reduced Order Models with the Use of Dominant Spectral Zeros.- M. Volker, Structure-preserving Interpolatory Model Reduction for Port-Hamiltonian Differential-Algebraic Systems.- P. D. Igor, Data-Driven Identification of Rayleigh-Damped Second-Order Systems.- S. Tatjana, Balanced truncation model reduction for 3D linear magneto-quasistatic field problems.- Van der S. Arjan, Structure-preserving model reduction of physical network systems.- Part IV: Model Reduction for Control: B. Tobias, H2-gap model reduction for stabilizable and detactable systems.- H. Matthias, Reduced Order Model Hessian Approximations in Newton Methods for Optimal Control.- P.-V. Charles, Interpolation-based irrational model control design and stabilty analysis.- Part V: Applications: D. Clifford, Oscillations in Biology: G. Eduardo, Model-Order Reduction for Coupled Flow and Linear Thermal-Poroplasticity with Applications to Unconventional Reservoirs.- I. Roxana, Challenges in model reduction for real-time simulation of traction chain systems.- N. Masaaki, Sparse Representation for Sampled-data Hinf Filter.- S. Eduardo, Analysis of a reduced model of epithelial–mesenchymal fate determination in cancer metastasis as a singularly-perturbed monotone system.
£87.99
Springer Nature Switzerland AG Abstract Fractional Monotone Approximation,
Book SynopsisThis book employs an abstract kernel fractional calculus with applications to Prabhakar and non-singular kernel fractional calculi. The results are univariate and bivariate. In the univariate case, abstract fractional monotone approximation by polynomials and splines is presented. In the bivariate case, the abstract fractional monotone constrained approximation by bivariate pseudo-polynomials and polynomials is given. This book’s results are expected to find applications in many areas of pure and applied mathematics, especially in fractional approximation and fractional differential equations. Other interesting applications are applied in sciences like geophysics, physics, chemistry, economics, and engineering. This book is appropriate for researchers, graduate students, practitioners, and seminars of the above disciplines.Trade Review“The book is a very interesting contribution to the recent developments in fractional calculus, which is widely studied due to its numerous applications in many scientific fields.” (Carlo Bardaro, Mathematical Reviews, September, 2023)Table of ContentsBasic abstract fractional monotone approximation.- Abstract bivariate left fractional monotone constrained approximation by pseudo-polynomials.- Conclusion.
£104.49
