Automatic control engineering Books
Taylor & Francis Ltd Machine Learning Toolbox for Social Scientists
Book SynopsisMachine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical tools that make it mostly self-contained. The inferential statistics is the traditional framework for most data analytics courses in social science and business fields, especially in Economics and Finance. The new organization that this book offers goes beyond standard machine learning code applications, providing intuitive backgrounds for new predictive methods that social science and business students can follow. The book also adds many other modern statistical tools complementary to predictive methods that cannot be easily found in econometrics textbooks: nonparametric methods, data exploration with predictive models, penalized regressions, model selection with sparsity, dimension reduction methods, nonparametric time-series predictions, graphical network analysis, algorithmic optimization methods, classification with imbalanced data, and many others. This book is targTable of Contents1. How We Define Machine Learning 2. Preliminaries Part 1. Formal Look at Prediction 3. Bias-Variance Tradeoff 4. Overfitting Part 2. Nonparametric Estimations 5. Parametric Estimations 6. Nonparametric Estimations - Basics 7. Smoothing 8. Nonparametric Classifier - kNN Part 3. Self-learning 9. Hyperparameter Tuning 10. Tuning in Classification 11. Classification Example Part 4. Tree-based Models 12. CART 13. Ensemble Learning 14. Ensemble Applications Part 5. SVM & Neural Networks 15. Support Vector Machines 16. Artificial Neural Networks Part 6. Penalized Regressions 17. Ridge 18. Lasso 19. Adaptive Lasso 20. Sparsity Part 7. Time Series Forecasting 21. ARIMA models 22. Grid Search for Arima 23. Time Series Embedding 24. Random Forest with Times Series 25. Recurrent Neural Networks Part 8. Dimension Reduction Methods 26. Eigenvectors and eigenvalues 27. Singular Value Decomposition 28. Rank r approximations 29. Moore-Penrose Inverse 30. Principle Component Analysis 31. Factor Analysis Part 9. Network Analysis 32. Fundamentals 33. Regularized Covariance Matrix Part 10. R Labs 34. R Lab 1 Basics 35. R Lab 2 Basics II 36. Simulations in R 37. Algorithmic Optimization 38. Imbalanced Data
£69.29
CRC Press Graph Theory and Its Applications
Book SynopsisGraph Theory and Its Applications, Third Edition is the latest edition of the international, bestselling textbook for undergraduate courses in graph theory, yet it is expansive enough to be used for graduate courses as well. The textbook takes a comprehensive, accessible approach to graph theory, integrating careful exposition of classical developments with emerging methods, models, and practical needs. The authorsâ unparalleled treatment is an ideal text for a two-semester course and a variety of one-semester classes, from an introductory one-semester course to courses slanted toward classical graph theory, operations research, data structures and algorithms, or algebra and topology.Features of the Third Edition Expanded coverage on several topics (e.g., applications of graph coloring and tree-decompositions) Provides better coverage of algorithms and algebraicTable of ContentsIntroduction to Graph Models Graphs and Digraphs. Common Families of Graphs. Graph Modeling Applications. Walks and Distance. Paths, Cycles, and Trees. Vertex and Edge Attributes. Structure and Representation Graph Isomorphism. Automorphism and Symmetry. Subgraphs. Some Graph Operations. Tests for Non-Isomorphism. Matrix Representation. More Graph Operations. Trees Characterizations and Properties of Trees. Rooted Trees, Ordered Trees, and Binary Trees. Binary-Tree Traversals. Binary-Search Trees. Huffman Trees and Optimal Prefix Codes. Priority Trees. Counting Labeled Trees. Counting Binary Trees. Spanning Trees Tree Growing. Depth-First and Breadth-First Search. Minimum Spanning Trees and Shortest Paths. Applications of Depth-First Search. Cycles, Edge-Cuts, and Spanning Trees. Graphs and Vector Spaces. Matroids and the Greedy Algorithm. Connectivity Vertex and Edge-Connectivity. Constructing Reliable Networks. Max-Min Duality and Menger’s Theorems. Block Decompositions. Optimal Graph Traversals Eulerian Trails and Tours. DeBruijn Sequences and Postman Problems. Hamiltonian Paths and Cycles. Gray Codes and Traveling Salesman Problems. Planarity and Kuratowski’s Theorem Planar Drawings and Some Basic Surfaces. Subdivision and Homeomorphism. Extending Planar Drawings. Kuratowski’s Theorem. Algebraic Tests for Planairty. Planarity Algorithm. Crossing Numbers and Thickness. Graph Colorings Vertex-Colorings. Map-Colorings. Edge-Colorings. Factorization. Special Digraph Models Directed Paths and Mutual Reachability. Digraphs as Models for Relations. Tournaments. Project Scheduling. Finding the Strong Components of a Digraph. Network Flows and Applications Flows and Cuts in Networks. Solving the Maximum-Flow Problem. Flows and Connectivity. Matchings, Transversals, and Vertex Covers. Graph Colorings and Symmetry Automorphisms of Simple Graphs. Equivalence Classes of Colorings. Appendix
£43.99
Taylor & Francis Ltd Power System Protection and Relaying
Book SynopsisThis textbook provides an excellent focus on the advanced topics of the power system protection philosophy and gives exciting analysis methods and a cover of the important applications in the power systems relaying. Each chapter opens with a historical profile or career talk, followed by an introduction that states the chapter objectives and links the chapter to the previous ones, and then the introduction for each chapter. All principles are presented in a lucid, logical, step-by-step approach. As much as possible, the authors avoid wordiness and detail overload that could hide concepts and impede understanding. In each chapter, the authors present some of the solved examples and applications using a computer program.Toward the end of each chapter, the authors discuss some application aspects of the concepts covered in the chapter using a computer program.In recognition of requirements by the Accreditation Board for Engineering and Technology (ABET) on integrating comTable of Contents1. Introduction to Power Protection Systems. 2. Protective Relays. 3. Protection Systems with SCADA Technology 4. Faults Analysis. 5. Fuses and Circuit Breakers. 6. Overcurrent Relay. 7. Transmission Line Protection. 8. Transformer Protection. 9. Generator, Motor, and Busbar Protection. 10. High-Impedance Faults. 11. Grounding of Power System.
£84.99
Taylor & Francis Ltd Applied Machine Learning Using mlr3 in R
Book Synopsismlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R. It covers various key topics, including basic machine learning tasks, such as building and evaluating a predictive model; hyperparameter tuning of machine learning approaches to obtain peak performance; building machine learning pipelines that perform complex operations such as pre-processing followed by modelling followed by aggregation of predictions; and extending the mlr3 ecosystem with custom learners, measures, or pipeline components.Features: In-depth coverage of the mlr3 ecosystem for users and developers Explanation and illustration of basic and advanced machine learning concepts Ready to use code samples that can be adapted by the useTable of Contents1. Introduction and Overview. 2. Data and Basic Modeling. 3. Evaluation and Benchmarking. 4. Hyperparameter Optimization. 5. Advanced Tuning Methods and Black Box Optimization. 6. Feature Selection. 7. Sequential Pipelines. 8. Non-sequential Pipelines and Tuning. 9. Preprocessing. 10. Advanced Technical Aspects of mlr3 .11. Model Interpretation and Explanation. 12. Model Interpretation. 13. Beyond Regression and Classification. 14. Algorithmic Fairness.
£58.89
Taylor & Francis Ltd The Applied Genomic Epidemiology Handbook
Book SynopsisThe Applied Genomic Epidemiology Handbook: A Practical Guide to Leveraging Pathogen Genomic Data in Public Health provides rationale, theory, and implementation guidance to help public health practitioners incorporate pathogen genomic data analysis into their investigations. During the SARS-CoV-2 pandemic, viral whole genome sequences were generated, analyzed, and shared at an unprecedented scale. This wealth of data posed both tremendous opportunities and challenges; the data could be used to support varied parts of the public health response but could be hard for much of the public health workforce to analyze and interpret, given a historical lack of experience working with pathogen genomic data.This book addresses that gap. Structured into eight wide-ranging chapters, this book describes how the overlapping timescales of pathogen evolution and infection transmission enable exploration of epidemiologic dynamics from pathogen sequence data. Different approaches to s
£44.99
CRC Press NextGeneration DataDriven Business 4.0 using the Internet of Things Blockchain and Interconnected Devices
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£133.00
Cambridge University Press The Mechanics of Robot Grasping
Book SynopsisIn this comprehensive textbook about robot grasping, readers will discover an integrated look at the major concepts and technical results in robot grasp mechanics. A large body of prior research, including key theories, graphical techniques, and insights on robot hand designs, is organized into a systematic review, using common notation and a common analytical framework. With introductory and advanced chapters that support senior undergraduate and graduate level robotics courses, this book provides a full introduction to robot grasping principles that are needed to model and analyze multi-finger robot grasps, and serves as a valuable reference for robotics students, researchers, and practicing robot engineers. Each chapter contains many worked-out examples, exercises with full solutions, and figures that highlight new concepts and help the reader master the use of the theories and equations presented.Trade Review'The Mechanics of Robot Grasping, by two of the world's leading experts, fills an important gap in the literature by providing the first comprehensive survey of the mathematical tools needed to model the physics of grasping. The book uses configuration space to consistently characterize equilibrium, immobilizing, and caging grasps, and clearly conveys important points such as the distinction between first-order and second-order form closure. The book also contains new material on the effects of gravity, compliance, and hand mechanism design. Grasping remains a Grand Challenge for robots and this book provides the solid foundation for progress for students and researchers in the years ahead.' Ken Goldberg, University of California, Berkeley'This is a book on robotic hand grasping from new view points. Different from other books on grasping, this book concretely explains the equilibrium grasp, the immobilizing grasp and the caging grasp. In addition, I have never seen a book discussing the equilibrium stance of legged robots in relation to the equilibrium grasp. Classical topics on grasping mechanics are also covered in this book.' Kensuke Harada, Osaka University, JapanTable of Contents1. Introduction and overview; Part I. Basic Geometry of the Grasping Process: 2. Rigid-body configuration space; 3. Configuration space tangent and cotangent vectors; 4. Rigid body equilibrium grasps; 5. A catalog of equilibrium grasps; Part II. Frictionless Rigid Body Grasps and Stances: 6. Introduction to secure grasps; 7. First-order immobilizing grasps; 8. Second-order immobilizing grasps; 9. Minimal immobilizing grasps; 10. Multi-finger caging grasps; 11. Frictionless hand supported stances under gravity; Part III. Frictional Rigid-Body Grasps, Fixtures, and Stances: 12. Wrench resistant grasps; 13. Grasp quality functions; 14. Hand supported stances under gravity – Part I; 15. Hand supported stances under gravity – Part II; Part IV. Grasping Mechanisms: 16. The kinematics and mechanics of grasping mechanisms; 17. Grasp manipulability; 18. Hand mechanism compliance; Appendices; Index.
£100.70
Pearson Education Digital Control System Analysis Design Global
Book SynopsisAppropriate for a one semester/two-quarter senior-level course in digital or discrete-time controls. This revision of the best-selling text in digital controls is a significant update with the integration of MATLAB software and new coverage in several areas. Table of Contents Chapter 1: Introduction Chapter 2: Discrete-Time Systems and the z-Transform Chapter 3: Sampling and Reconstruction Chapter 4: Open-Loop Discrete-Time Systems Chapter 5: Closed-Loop Systems Chapter 6: System Time-Response Characteristics Chapter 7: Stability Analysis Techniques Chapter 8: Digital Controller Design Chapter 9: Pole-Assignment Design and State Estimation Chapter 10: System Identification of Discrete-Time Systems Chapter 11: Linear Quadratic Optimal Control Chapter 12: Case Studies Appendix I: Design Equations Appendix II: Mason’s Gain Formula Appendix III: Evaluation of E*(s) Appendix IV: Review of Matrices Appendix V: The Laplace Transform Appendix VI: z-Transform Tables
£76.94
Taylor & Francis Inc Data Clustering
Book SynopsisResearch on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains.The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biologicTable of ContentsAn Introduction to Cluster Analysis. Feature Selection for Clustering: A Review. Probabilistic Models for Clustering. A Survey of Partitional and Hierarchical Clustering Algorithms. Density-Based Clustering. Grid-Based Clustering. Non-Negative Matrix Factorizations for Clustering: A Survey. Spectral Clustering. Clustering High-Dimensional Data. A Survey of Stream Clustering Algorithms. Big Data Clustering. Clustering Categorical Data. Document Clustering: The Next Frontier. Clustering Multimedia Data. Time Series Data Clustering. Clustering Biological Data. Network Clustering. A Survey of Uncertain Data Clustering Algorithms. Concepts of Visual and Interactive Clustering. Semi-Supervised Clustering. Alternative Clustering Analysis: A Review. Cluster Ensembles: Theory and Applications. Clustering Validation Measures. Educational and Software Resources for Data Clustering. Index.
£114.00
Sae Edge Research Report Unsettled Topics on Nondestructive Testing of
Book Synopsis
£84.59
CRC Press Graph Theory and Its Applications
Book SynopsisGraph Theory and Its Applications, Third Edition is the latest edition of the international, bestselling textbook for undergraduate courses in graph theory, yet it is expansive enough to be used for graduate courses as well. The textbook takes a comprehensive, accessible approach to graph theory, integrating careful exposition of classical developments with emerging methods, models, and practical needs. The authorsâ unparalleled treatment is an ideal text for a two-semester course and a variety of one-semester classes, from an introductory one-semester course to courses slanted toward classical graph theory, operations research, data structures and algorithms, or algebra and topology.Features of the Third Edition Expanded coverage on several topics (e.g., applications of graph coloring and tree-decompositions) Provides better coverage of algorithms and algebraic and topological graph theory than any otherTable of ContentsIntroduction to Graph Models Graphs and Digraphs. Common Families of Graphs. Graph Modeling Applications. Walks and Distance. Paths, Cycles, and Trees. Vertex and Edge Attributes. Structure and Representation Graph Isomorphism. Automorphism and Symmetry. Subgraphs. Some Graph Operations. Tests for Non-Isomorphism. Matrix Representation. More Graph Operations. Trees Characterizations and Properties of Trees. Rooted Trees, Ordered Trees, and Binary Trees. Binary-Tree Traversals. Binary-Search Trees. Huffman Trees and Optimal Prefix Codes. Priority Trees. Counting Labeled Trees. Counting Binary Trees. Spanning Trees Tree Growing. Depth-First and Breadth-First Search. Minimum Spanning Trees and Shortest Paths. Applications of Depth-First Search. Cycles, Edge-Cuts, and Spanning Trees. Graphs and Vector Spaces. Matroids and the Greedy Algorithm. Connectivity Vertex and Edge-Connectivity. Constructing Reliable Networks. Max-Min Duality and Menger’s Theorems. Block Decompositions. Optimal Graph Traversals Eulerian Trails and Tours. DeBruijn Sequences and Postman Problems. Hamiltonian Paths and Cycles. Gray Codes and Traveling Salesman Problems. Planarity and Kuratowski’s Theorem Planar Drawings and Some Basic Surfaces. Subdivision and Homeomorphism. Extending Planar Drawings. Kuratowski’s Theorem. Algebraic Tests for Planairty. Planarity Algorithm. Crossing Numbers and Thickness. Graph Colorings Vertex-Colorings. Map-Colorings. Edge-Colorings. Factorization. Special Digraph Models Directed Paths and Mutual Reachability. Digraphs as Models for Relations. Tournaments. Project Scheduling. Finding the Strong Components of a Digraph. Network Flows and Applications Flows and Cuts in Networks. Solving the Maximum-Flow Problem. Flows and Connectivity. Matchings, Transversals, and Vertex Covers. Graph Colorings and Symmetry Automorphisms of Simple Graphs. Equivalence Classes of Colorings. Appendix
£80.74
O'Reilly Media Arduino A Technical Reference
Book SynopsisThis book brings together in one place all the information you need to get something done with Arduino. It will save you from endless web searches and digging through translations of datasheets or notes in project-based texts to find the information that corresponds to your own particular setup and question.
£31.99
Taylor & Francis Inc ModelBased Machine Learning
Book SynopsisToday, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through model-based machine learning which focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system.The key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications that it makes sense to discuss modelling assumptions. Each chapter introduces one case study and works through step-by-step to solve it using a model-based approach. The aim is not just to explain machine learning methods, but also showcase how to create, debug, and evolve them to solvTable of ContentsIntroduction. How Can Machine Learning Solve my Problem? 1. A Murder Mystery 2. Assessing People’s Skills Interlude. The Machine Learning Life Cycle 3. Meeting Your Match 4. Uncluttering Your Inbox 5. Making Recommendations 6. Understanding Asthma 7. Harnessing the Crowd 8. How to Read a Model Afterword
£68.39
Lioncrest Publishing Food 5.0: How We Feed The Future
Book Synopsis
£16.04
Artech House Publishers An Engineer's Guide to Automated Testing of
Book SynopsisThis second edition of An Engineer's Guide to Automated Testing of High-Speed Interfaces provides updates to reflect current state-of-the-art high-speed digital testing with automated test equipment technology (ATE). Featuring clear examples, this one-stop reference covers all critical aspects of automated testing, including an introduction to high-speed digital basics, a discussion of industry standards, ATE and bench instrumentation for digital applications, and test and measurement techniques for characterization and production environment. Engineers learn how to apply automated test equipment for testing high-speed digital I/O interfaces and gain a better understanding of PCI-Express 4, 100Gb Ethernet, and MIPI while exploring the correlation between phase noise and jitter. This updated resource provides expanded material on 28/32 Gbps NRZ testing and wireless testing that are becoming increasingly more pertinent for future applications. This book explores the current trend of merging high-speed digital testing within the fields of photonic and wireless testing.Table of ContentsHigh-Speed Digital Basics; High-Speed Interface Standards; ATE Instrumentation for Digital Applications; Tests and Measurements; Production Testing; Support Instrumentation; Test Fixture Design; Advanced ATE Topics; Introduction to Gaussian Distribution and Analytical Computation of the BER, The Dual Dirac Model and RJ/DJ Separation; Pseudo-Random Bit Sequences and Other Data Patterns; Coding, Scrambling, Disparity, and CRC; Time Domain Reflectometry and Time Domain Transmission (TDR/TDT); S-Parameters; Engineering CAD Tools; Test Fixture Evaluation and Characterization; Jitter Injection Calibration; Phase Noise, RMS Jitter and Random Jitter.
£91.80
Springer London Ltd Robotics: Modelling, Planning and Control
Book SynopsisThe classic text on robot manipulators now covers visual control, motion planning and mobile robots too!Based on the successful Modelling and Control of Robot Manipulators by Sciavicco and Siciliano (Springer, 2000), Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. It has been expanded to include coverage of mobile robots, visual control and motion planning. A variety of problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained.The text includes coverage of fundamental topics like kinematics, and trajectory planning and related technological aspects including actuators and sensors.To impart practical skill, examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, end-of-chapter exercises are proposed, and the book is accompanied by an electronic solutions manual containing the MATLAB® code for computer problems; this is available free of charge to those adopting this volume as a textbook for courses.Trade ReviewRobotics: Modelling, Planning and Control is a book that comprehensively covers all aspects of robotic fundamentals. It is particularly an excellent text for graduate educators, as it covers the fundamentals of the field with a rigorous formalism that is well blended with the technological aspects of robotics. The text covers in detail the theory of manipulators and wheeled robots starting with kinematics, dynamics and motion control, as well interaction with the environment through perception - force and vision sensors. The book is written by technical authorities in the field, and will be in invaluable addition to graduate education as well as a useful guide for industrial practitioners. Alexander Zelinsky, CSIRO, Australia Robotics is a diverse field bringing together disparate areas from computer science, electrical engineering and mechanical engineering. This book is an integrative but rigorous treatment of all the relevant concepts, with an eye toward modern, practical applications making it an excellent choice for a first year graduate course in robotics. Vijay Kumar, University of Pennsylvania This book provides rock-solid foundations for the study of classical mechanics and control of robots, with the authoritative character of a reference where you can surely find the correct expression and the rigorous derivation of the results you need. On top of this, new chapters on motion planning, visual servoing, and mobile robot control provide support to teaching wider and more interdisciplinary aspects of robotics, and open up vistas that will certainly inspire a new generation of scholars to embrace this incredibly rich and fertile research field. Antonio Bicchi, University of Pisa, Italy This book offers a well-balanced and intellectually satisfying treatment of robot mechanics, planning, and control – from the choice and sequence of topics, to the level of detail in the analysis, and the clear connections made between the latest technologies and the theoretical foundations of robotics, this book is an essential element in the library of every aspiring young robotics researcher. Frank Chongwoo Park, Seoul National University Robotics: Modeling, Planning and Control is a historiography from the materialistic view of robotics. Authors clearly explain physical and mathematical foundation to understand the most up-to-date robotics, so faithfully to bibliography and terminology in robotics. Unquestionably, the best textbook for senior students and graduate students and the closest reference book for engineers and scientists! Yoshihiko Nakamura, University of Tokyo Exceptional! A text with such a span of robotics fundamentals and advanced research in both manipulation and mobility, and a treatment that creatively balances mathematical depth and physical intuition – a fresh and certainly unique reference for researchers and engineers in the field of robotics. Oussama Khatib, Stanford University Certainly because of its youth, robotics is not always considered as a discipline as such. It is often introduced as a technological "area" integrating various aspects of mechanics, automatic control and computer science. Such a dispersed view is prejudicial for students. The book by Siciliano et al. achieves the introduction of the basic concepts in a coherent, self-contained and didactic way. In that sense, when reading Robotics: Modelling, Planning and Control the reader – from the undergraduate student to the researcher – understands that a new discipline is born, with its own foundations. Jean-Paul Laumond, LAAS-CNRSTable of ContentsKinematics.- Differential Kinematics and Statics.- Trajectory Planning.- Actuators and Sensors.- Control Architecture.- Dynamics.- Motion Control.- Force Control.- Visual Servoing.- Mobile Robots.- Motion Planning.
£80.99
Springer London Ltd Model Predictive Control System Design and
Book SynopsisModel Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.Trade ReviewFrom the reviews:“This monograph gives an introduction to model predictive control and recent developments in its design and implementation using Matlab and Simulink. The book is aimed at a wide readership ranging from industrial control engineers to graduate students in the process and control disciplines.” (IEEE Control Systems Magazine, Vol. 30, August, 2010)“The book gives an introduction to Model Predictive Control (MPC), and recent developments in design and implementation. … The book’s approach is expected to appeal to a wide readership ranging from the industrial control engineer to the postgraduate student in the process and control disciplines. Both will find the MATLAB demonstrations of the control concepts a valuable tutorial route to understanding MPC in practice.” (Karl-Heinz Waldmann, Zentralblatt MATH, Vol. 1200, 2011)Table of ContentsDiscrete-time MPC for Beginners.- Discrete-time MPC with Constraints.- Discrete-time MPC Using Laguerre Functions.- Discrete-time MPC with Prescribed Degree of Stability.- Continuous-time Orthonormal Basis Functions.- Continuous-time MPC.- Continuous-time MPC with Constraints.- Continuous-time MPC with Prescribed Degree of Stability.- Classical MPC Systems in State-space Formulation.- Implementation of Predictive Control Systems.
£134.99
Springer Nature Switzerland AG Event-Triggered Sliding Mode Control: A New Approach to Control System Design
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£80.99
Springer Nature Switzerland AG Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties
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£80.99
Springer Nature Switzerland AG Modeling and Control of a Tracked Mobile Robot for Pipeline Inspection
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£80.99
Springer Nature Switzerland AG Multiplicative Inverse Functional Equations: Theory and Applications
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£80.99
Springer Nature Switzerland AG Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
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£80.99
Springer Nature Switzerland AG Advanced Human-Robot Collaboration in
Book SynopsisThis book presents state-of-the-art research, challenges and solutions in the area of human–robot collaboration (HRC) in manufacturing. It enables readers to better understand the dynamic behaviour of manufacturing processes, and gives more insight into on-demand adaptive control techniques for industrial robots.With increasing complexity and dynamism in today’s manufacturing practice, more precise, robust and practical approaches are needed to support real-time shop-floor operations. This book presents a collection of recent developments and innovations in this area, relying on a wide range of research efforts.The book is divided into five parts. The first part presents a broad-based review of the key areas of HRC, establishing a common ground of understanding in key aspects. Subsequent chapters focus on selected areas of HRC subject to intense recent interest. The second part discusses human safety within HRC. The third, fourth and fifth parts provide in-depth views of relevant methodologies and algorithms. Discussing dynamic planning and monitoring, adaptive control and multi-modal decision making, the latter parts facilitate a better understanding of HRC in real situations. The balance between scope and depth, and theory and applications, means this book appeals to a wide readership, including academic researchers, graduate students, practicing engineers, and those within a variety of roles in manufacturing sectors.Table of ContentsPart I: Literature Survey.- Current Status in Human-Robot Collaborative Assembly.- Latest Developments of Gesture Recognition for Human-Robot Collaboration.- Challenges and Characteristics of Safety for Human-Robot Collaborative Systems.- Part II: Human Safety in Human-Robot Collaboration.- Real-Time Collision and Detection and Collision Avoidance.- Collision-Free Dynamic Robot Trajectory Planning.- Zone-Based Robot Control for Safe Collaboration with Robots.- Part III: Dynamic Planning and Monitoring.- Resource Availability and Capability Monitoring.- Dynamic Assembly Planning and Task Assignment.- Cockpit: A Portal for Symbiotic Human-Robot Collaborative Assembly.- Human-Robot Collaborative Workcell Calibration and Control.- Part IV: Adaptive Robot Control.- Drag&Bot: A Toolbox for Assembly Process Encapsulation.- A Programming-Free Approach for Robot Control Based on Function Blocks.- Sensorless Haptic Control for Physical Human-Robot Interactions.- Part V: Multimodal Decision Support.- Human Worker Tracking and Identification in Dynamic Human-Robot Collaborative Environments.- Multimodal Communication with Robots and Decision Support to Humans.- A Real-World Case Study on Human-Robot Collaborative Assembly
£142.49
Springer Nature Switzerland AG Energy-Efficient and Semi-automated Truck
Book SynopsisThis open access book presents research and evaluation results of the Austrian flagship project “Connecting Austria,” illustrating the wide range of research needs and questions that arise when semi-automated truck platooning is deployed in Austria. The work presented is introduced in the context of work in similar research areas around the world. This interdisciplinary research effort considers aspects of engineering, road-vehicle and infrastructure technologies, traffic management and optimization, traffic safety, and psychology, as well as potential economic effects. The book’s broad perspective means that readers interested in current and state-of-the-art methods and techniques for the realization of semi-automated driving and with either an engineering background or with a less technical background gain a comprehensive picture of this important subject. The contributors address many questions such as: Which maneuvers does a platoon typically have to carry out, and how? How can platoons be integrated seamlessly in the traffic flow without becoming an obstacle to individual road users? What trade-offs between system information (sensors, communication effort, etc.) and efficiency are realistic? How can intersections be passed by a platoon in an intelligent fashion? Consideration of diverse disciplines and highlighting their meaning for semi-automated truck platooning, together with the highlighting of necessary research and evaluation patterns to address such a broad task scientifically, makes Energy-Efficient and Semi-automated Truck Platooning a unique contribution with methods that can be extended and adapted beyond the geographical area of the research reported.Table of ContentsPart I: Introduction & Research Approach.- Research Need: An Overview on Project “Connecting Austria”.- Platooning Around the World.- Research Design & Evaluation Strategies.- Truck Platooning Requirements Analysis.- Part II: Methodology.- Computation Fluid Dynamics Assessment of Truck Platoons.- Simulation of Platoon Dynamics, Optimization & Traffic Effects.- Platoon Control Concepts.- Part III: Simulations, Tests and Demonstrations.- ZalaZone.- Scenario-Based Simulation Studies on Platooning Effects in Traffic.- Fuel Efficiency.- Traffic Measurement for the Intersection Case in Hallein, Austria.- Part IV: Analysis of Results.- Requirements for Truck Platooning from a Road Safety Perspective.- Energy, Fuel & Traffic Efficiency of Platooning.- Business Models, Economy & Innovation.- Truck Drives.- How Platooning Research Enhances the European Innovation System – Even Without Electronically-Coupled Trucks on the Road.- Discussion.
£33.24
Springer Nature Switzerland AG Discrete Dynamics: Basic Theory and Examples
Book SynopsisThis book offers a complete and detailed introduction to the theory of discrete dynamical systems, with special attention to stability of fixed points and periodic orbits. It provides a solid mathematical background and the essential basic knowledge for further developments such as, for instance, deterministic chaos theory, for which many other references are available (but sometimes, without an exhaustive presentation of preliminary notions). Readers will find a discussion of topics sometimes neglected in the research literature, such as a comparison between different predictions achievable by the discrete time model and the continuous time model of the same application. Another novel aspect of this book is an accurate analysis of the way a fixed point may lose stability, introducing and comparing several notions of instability: simple instability, repulsivity, and complete instability. To help the reader and to show the flexibility and potentiality of the discrete approach to dynamics, many examples, numerical simulations, and figures have been included. The book is used as a reference material for courses at a doctoral or upper undergraduate level in mathematics and theoretical engineering.Trade Review“The book is well written, easy to read and has many exciting examples to motivate the results. Therefore, it is a book which deserves to be read.” (José S. Cánovas Peña, Mathematical Reviews, January, 2023)“This quite small book belonging to a series entitled ‘Mathematical Engineering’ is a self-contained introduction to discrete- time systems. Motivated by applications arising from physics, engineering … economics and other natural sciences, it is mainly addressed to students, aiming to show that discrete dynamics deserves its own interest and is not easy to study. … The reviewed book can be considered … as a preliminary study for more complete monographs … .” (Vladimir Răsvan, zbMATH 1492.37001, 2022)Table of ContentsDiscrete dynamical systems.- Stability and attraction.- Bifurcations.- Positive linear systems.
£49.49
Springer International Publishing AG Closed Loop Control and Management: Introduction
Book SynopsisThe block diagrams as engineering means for closed loop control, which have been established by classic control theory for decades, are replaced in the above mentioned book by networks, the signals are replaced by data. It corresponds to the „Industry 4.0“ and to the structure of today’s automatic control systems. Thereby a classic closed loop is treated not isolated from other elements of nowadays automation like bus communication and process logical control, and is completed in proposed book with new control elements, so called data stream managers (DSM). The proposed book treats the control theory systematically like it is done in classical books considering the new concept of data management. The theory is accompanied in the book with examples, exercises with solutions and MATLAB®-simulations.Table of ContentsClassic closed loop control from Heron till now:- Basics of the closed loop management.- Engineering of closed loops.- Mathematical Backgrounds.
£52.24
Springer International Publishing AG HSystems
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£116.99
Springer International Publishing AG Medical Robotics
Book SynopsisThis book provides a thorough background to the emerging field of medical robotics. It covers the mathematics needed to understand the use of robotic devices in medicine, including but not limited to robot kinematics, hand-eye and robot-world calibration, reconstruction, registration, motion planning, motion prediction, motion correlation, motion replication and motion learning. Additionally, basic methods behind state-of-the art robots like the DaVinci system, the CyberKnife, motorized C-arms and operating microscopes as well as stereotactic frames are presented. The book is a text book for undergraduates in computer science and engineering.The main idea of the book is to motivate the methods in robotics in medical applications rather than industrial applications. The book then follows the standard path for a robotics textbook. It is thus suitable for a first course in robotics for undergraduates. It is the first textbook on medical robotics.Table of ContentsIntroduction.- Describing Spatial Position and Orientation.- Robot Kinematics.- Joint Velocities and Jacobi-Matrices.- Navigation and Registration.- Treatment Planning.- Motion Correlation and Tracking.- Motion Prediction.- Motion Replication.- Applications of Surgical Robotics.- Rehabilitation, Neuroprosthetics and Brain-Machine Interfaces.
£49.49
Springer International Publishing AG Robotics Goes MOOC: Knowledge
Book SynopsisThe robot “concept” was clearly established by those many creative historical realizations, such as those recalled above. Nonetheless, the emergence of the “physical” robot had to await the advent of its underlying technologies of mechanics, controls, computers, electronics and sensors ―in one word, mechatronics― during the course of the twentieth century. As always, new designs motivate new research and discoveries which, in turn, lead to enhanced solutions and thus to novel concepts. This virtuous circle over time produced that knowledge and understanding which gave birth to the field of Robotics, properly referred to as the science and technology of robots.To make robots and intelligent machines useful to humans it is necessary to have a broad and tight intersection between Robotics and AI. Sophisticated mathematical models are needed that enable the robot from a physical point of view, as well as intelligent algorithms capable of correlating all the information coming from the use of technologically advanced sensors with the data available from experience. It is expected that the synergy of model-based techniques with data-driven approaches will contribute to increasing the level of autonomy of robots and intelligent machines in the near future.The first book of the Robotics Goes MOOC project starts with the journey of robotics in the introductory chapter by Khatib, who has pioneered our field of robotics and has ferried it to the third millennium. Sensing is crucial for the development of intelligent and autonomous robots, as covered in Chapter 2 by Nüchter et al. Model-based control is dealt with in Chapter 3 by Kröeger et al along with motion planning, as well as in Chapter 4 by Villani and Chapter 5 by Chaumette to handle force and visual feedback, respectively, when interacting with the environment. Resorting to AI techniques is the focus of the last part of the book, namely, Chapter 6 by Peters et al on Learning, Chapter 7 by Beetz et al on knowledge representation and reasoning, and Chapter 8 by Burgard et al on graph-based SLAM.Table of Contents1 Khatib, The Journey of Robotics.- 2 Nüchter, Sensing and Estimation.- 3 Kröger, Control and Motion Planning.- 4 Villani, Force Control.- 5 Chaumette, Visual Control.- 6 Peters, Learning.- 7 Beetz, Knowledge Representation and Reasoning- 8 Burgard, Graph-Based SLAM.
£44.99
Springer International Publishing AG Robotics Goes MOOC: Impact
Book SynopsisIt is often read in the media that AI and Robotics are the primary cause of technology unemployment. AI and machine learning techniques are expected to take over lower-level tasks, while humans can spend more time with higher-level tasks. In perspective, it can be said that jobs requiring boring cognitive tasks or repeatable and dangerous physical tasks will be considerably shredded by automation thanks to the wide adoption of AI & Robotics technology to replace humans, while jobs requiring challenging cognitive tasks or unstructured physical tasks will be suitably re-engineered with the progressive introduction of AI & Robotics technology to assist humans.From the discussion above, it should be clear that in a world populated by humans and robots, issues arise that go beyond engineering and technology due to the impact resulting from the use of robots in various application scenarios. The anthropization of robots cannot ignore the resolution of those ethical, legal, sociological, economic (ELSE) problems that have so far slowed their spread in our society.The final book of the Robotics Goes MOOC project enlightens the impact of using robotic technology in the main fields of application, namely, industrial robots as in Chapter 1 by Bischoff et al, medical robotics as in Chapter 2 by Dario et al, aerial robots as in Chapter 3 by Ollero et al, orbital robotics as in Chapter 4 by Lampariello, underwater robots in Chapter 5 by Antonelli, and rescue robots as in Chapter 6 by Murphy. The last part is devoted to the open dilemma of using and accepting robots in human co-habited environments which is addressed in Chapter 7 on social robotics by Pandey and the very final chapter by Tamburrini on the important issues raised with roboethics.Table of Contents1 Bischoff, Industrial Robots.- 2 Dario, Medical Robots.- 3 Ollero, Aerial Robots.- 4 Lampariello, Space Robots.- 5 Antonelli, Underwater Robots.- 6 Murphy, Rescue Robots.- 7 Pandey, Social Robots.- 8 Tamburrini, Ethical Legal and Societal Issues.
£44.99
Springer International Publishing AG Robotics Goes MOOC: Interaction
Book SynopsisWith the massive and pervasive diffusion of robotics technology in our society, we are heading towards a new type of AI, which we call Physical AI at the intersection of Robotics with AI, that is the science of robots and intelligent machines performing a physical action to help humans in their jobs of daily lives. Physical assistance to disabled or elderly people; reduction of risks and fatigue at work; improvement of production processes of material goods and their sustainability; safety, efficiency and reduction of environmental impact in transportation of people and goods; progress of diagnostic and surgical techniques are all examples of scenarios where the new InterAction Technology (IAT) is indispensable.The interaction between robots and humans must be managed in a safe and reliable manner. The robot becomes an ideal assistant, like the tool used by a surgeon, a craftsman, a skilled worker. The new generation of robots will co-exist — the cobots — with humans not only in the workplace but, gradually, in homes and communities, providing support in services, entertainment, education, health, manufacturing and care.As widely discussed above, interaction plays a crucial role for the development of modern robotic systems. Grasping, manipulation and cooperative manipulators are covered in the first part of the third book of the Robotics Goes MOOC project, respectively in Chapter 1 by Prattichizzo et al, Chapter 2 by Kao et al, and Chapter 3 by Caccavale. Specific interaction issues along with the development of digital and physical interfaces are dealt with in Chapter 4 by Marchal et al and in Chapter 5 by Croft et al, respectively. Interaction between robot and human also means that a robot can be worn by a human as presented in Chapter 6 by Vitiello et al. A different type of interaction at a cognitive and planning level is the focus of Chapter 7 by Lima devoted to multi-robot systems and Chapter 8 by Song et al on networked, cloud and fog robotics, respectively.Table of Contents1 Prattichizzo, Grasping.- 2 Kao, Manipulation.- 3 Caccavale, Cooperative Robots.- 4 Hollerbach, Haptics and Virtual Reality.- 5 Croft, Human−Robot Interaction.- 6 Vitiello, Wearable Robots.- 7 Sukhatme, Multiple Robots.- 8 Song, Networked Robots.
£44.99
Springer International Publishing AG Real-time Monitoring and Operational Control of Drinking-Water Systems
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£116.99
Springer International Publishing AG Hybrid Systems, Optimal Control and Hybrid Vehicles: Theory, Methods and Applications
Book SynopsisThis book assembles new methods showing the automotive engineer for the first time how hybrid vehicle configurations can be modeled as systems with discrete and continuous controls. These hybrid systems describe naturally and compactly the networks of embedded systems which use elements such as integrators, hysteresis, state-machines and logical rules to describe the evolution of continuous and discrete dynamics and arise inevitably when modeling hybrid electric vehicles. They can throw light on systems which may otherwise be too complex or recondite.Hybrid Systems, Optimal Control and Hybrid Vehicles shows the reader how to formulate and solve control problems which satisfy multiple objectives which may be arbitrary and complex with contradictory influences on fuel consumption, emissions and drivability. The text introduces industrial engineers, postgraduates and researchers to the theory of hybrid optimal control problems. A series of novel algorithmic developments provides tools for solving engineering problems of growing complexity in the field of hybrid vehicles.Important topics of real relevance rarely found in text books and research publications—switching costs, sensitivity of discrete decisions and there impact on fuel savings, etc.—are discussed and supported with practical applications. These demonstrate the contribution of optimal hybrid control in predictive energy management, advanced powertrain calibration, and the optimization of vehicle configuration with respect to fuel economy, lowest emissions and smoothest drivability. Numerical issues such as computing resources, simplifications and stability are treated to enable readers to assess such complex systems. To help industrial engineers and managers with project decision-making, solutions for many important problems in hybrid vehicle control are provided in terms of requirements, benefits and risks.Table of ContentsPart I Introduction.- Introduction.- Modeling of Hybrid Vehicles as Cyber-physical Systems.- Optimal Control Preliminaries.- Problem Formulation.- Part II Numerical Solutions.- Optimal Control Solutions Using Indirect Methods.- Optimal Control Solutions Using Direct Methods.- Numerical Algorithms.- Part III Applications.- Advanced Applications.- Predictive Real-time Energy Management.- CO2 Management.
£98.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Nonlinear Control Systems
Book SynopsisThe purpose of this book is to present a self-contained description of the fun damentals of the theory of nonlinear control systems, with special emphasis on the differential geometric approach. The book is intended as a graduate text as weil as a reference to scientists and engineers involved in the analysis and design of feedback systems. The first version of this book was written in 1983, while I was teach ing at the Department of Systems Science and Mathematics at Washington University in St. Louis. This new edition integrates my subsequent teaching experience gained at the University of Illinois in Urbana-Champaign in 1987, at the Carl-Cranz Gesellschaft in Oberpfaffenhofen in 1987, at the University of California in Berkeley in 1988. In addition to a major rearrangement of the last two Chapters of the first version, this new edition incorporates two additional Chapters at a more elementary level and an exposition of some relevant research findings which have occurred since 1985.Trade ReviewFrom the reviews: Isidori's book is essential for anyone preparing for serious reading or basic research in the differential geometric approach to control theory and will not disappoint those mathematically trained. I have observed its use in the hands of two teachers other than the author; the students enjoyed it and made good use of it later. There is no universal solvent for nonlinear control problems, but the methods presented here are powerful. IEEE Transactions on Automatic Control 43 (1997) 1043-1044 (Reviewer: David L. Elliott) Table of Contents1. Local Decompositions of Control Systems.- 2. Global Decompositions of Control Systems.- 3. Input-Output Maps and Realization Theory.- 4. Elementary Theory of Nonlinear Feedback for Single-Input Single-Output Systems.- 5. Elementary Theory of Nonlinear Feedback for Multi-Input Multi-Output Systems.- 6. Geometric Theory of State Feedback: Tools.- 7. Geometric Theory of Nonlinear Systems: Applications.- 8. Tracking and Regulation.- 9. Global Feedback Design for Single-Input Single-Output Systems.- A. Appendix A.- A.1 Some Facts from Advanced Calculus.- A.2 Some Elementary Notions of Topology.- A.3 Smooth Manifolds.- A.4 Submanifolds.- A.5 Tangent Vectors.- A.6 Vector Fields.- B. Appendix B.- B.1 Center Manifold Theory.- B.2 Some Useful Properties.- B.3 Local Geometric Theory of Singular Perturbations.- Bibliographical Notes.- References.
£189.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Linear Systems Control: Deterministic and Stochastic Methods
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£151.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Algorithmic Foundations of Robotics X: Proceedings of the Tenth Workshop on the Algorithmic Foundations of Robotics
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£170.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Intrinsically Motivated Learning in Natural and Artificial Systems
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£116.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Applications and Markets for Cooperating Objects
Book SynopsisThis book provides an overview and an insight in cooperative objects and defines the classification of topics into the different areas. A significant number of researchers and industrial partners were contacted in order to prepare the roadmap. The book presents of the main results provided by the corresponding European project "CONET".Trade ReviewFrom the reviews:“The book is useful for those interested in cooperating objects/IoT applications in a variety of scenarios. The work covers many application and deployment case studies in a concise, understandable manner. … I recommend this book for people in both industry and academia, to help them understand real system and deployment experiences from cooperating objects applications. This book may also help readers in this area choose hardware/sensor platforms, software architectures, software platforms, data management methods, and networking protocols.” (Debraj De, Computer Reviews, March, 2014)
£44.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Advanced Practical Process Control
Book SynopsisAn application-oriented approach to process control. The reference text systematically explains process identification, control and optimization, the three key steps needed to solve a multivariable control problem. Theory is discussed as far as it is needed to understand and solve the defined problem, while numerous examples written in MATLAB illustrate the problem-solving approach.Trade ReviewFrom the reviews:"The book Advanced Practical Process Control by Roffel and Betlem complements the textbook literature in the field of process control with a solution oriented approach. … The approach is very practical and solution oriented. It aims at familiarizing the reader with essential concepts of advanced process control as they are employed nowadays in the process industries. … the book definitely does enrich the textbook literature on process control. … The target audience is indeed the industrial practitioner or the chemical engineering student … ." (W. Marquardt, International Journal of Robust and Nonlinear Control, Vol. 16 (2), 2006)"This book is to help the process engineer to start from the available theory and to build control solutions. … Having some theoretical background in process dynamics, identification and optimal control, this book … will help the process engineer to solve control problems for process improvement tasks in practice." (Kurt Marti, Zentralblatt MATH, Vol. 1042 (17), 2004)“The book Advanced Practical Process Control … has been written for senior and graduate students as a comprehensive textbook on advanced process control with a solution-oriented approach. … The book covers a large array of process-control solutions. … The book is extremely well organized. Each chapter … gives a clear summary of what is to be described. … illustrated by numerous pictures, plots, and flow diagrams. … The presentations are clear, and the concepts and ideas are illustrated extremely well through numerous, interesting examples.” (Luige Vladareanu, International Journal of Acoustics and Vibration, Vol. 14 (3), 2009)Table of Contents1 Introduction to Advanced Process Control Concepts.- 1.1 Process Time Constant.- 1.2 Domain Transformations.- 1.3 Laplace Transformation.- 1.4 Discrete Approximations.- 1.5 z-Transforms.- 1.6 Advanced and Modified z-Transforms.- 1.7 Common Elements in Control.- 1.8 The Smith Predictor.- 1.9 Feed-forward Control.- 1.10 Feed-forward Control in a Smith Predictor.- 1.11 Dahlin’s Control Algorithm.- References.- 2 Process Simulation.- 2.1 Simulation using Matlab Simulink.- 2.2 Simulation of Feed-forward Control.- 2.3 Control Simulation of a 2x2 System.- 2.4 Simulation of Dahlin’s Control Algorithm.- 3 Process Modeling and Identification.- 3.1 Model Applications.- 3.2 Types of Models.- 3.2.1 White Box and Black Box Models.- 3.2.2 Linear and Non-linear Models.- 3.2.3 Static and Dynamic Models.- 3.2.4 Distributed and Lumped Parameter Models.- 3.2.5 Continuous and Discrete Models.- 3.3 Empirical (linear) Dynamic Models.- 3.4 Model Structure Considerations.- 3.4.1 Parametric Models.- 3.4.2 Non-parametric Models.- 3.5 Model Identification.- 3.5.1 Introduction.- 3.5.2 Identification of Parametric Models.- 3.5.3 Identification of Non-parametric Models.- References.- 4 Identification Examples.- 4.1 SISO Furnace Parametric Model Identification.- 4.2 MISO Parametric Model Identification.- 4.3 MISO Non-parametric Identification of a Non-integrating Process.- 4.4 MIMO Identification of an Integrating and Non-integrating Process.- 4.5 Design of Plant Experiments.- 4.5.1 Nature of Input Sequence.- 4.5.2 PRBS Type Input.- 4.5.3 Step Type Input.- 4.5.4 Type of Experiment.- 4.6 Data File Layout.- 4.7 Conversion of Model Structures.- 4.8 Example and Comparison of Open and Closed Loop Identification.- References.- 5 Linear Multivariable Control.- 5.1 Interaction in Multivariable Systems.- 5.1.1 The Relative Gain Array.- 5.1.2 Properties of the Relative Gain Array.- 5.1.3 Some Examples.- 5.1.4 The Dynamic Relative Gain Array.- 5.2 Dynamic Matrix Control.- 5.2.1 Introduction.- 5.2.2 Basic DMC Formulation.- 5.2.3 One Step DMC.- 5.2.4 Prediction Equation and Unmeasurable Disturbance Estimation.- 5.2.5 Restriction of Excessive Moves.- 5.2.6 Expansion of DMC to Multivariable Problems.- 5.2.7 Equal Concern Errors.- 5.2.8 Constraint Handling.- 5.2.9 Constraint Formulation.- 5.3 Properties of Commercial MPC Packages.- References.- 6 Multivariable Optimal Constraint Control Algorithm.- 6.1 General Overview.- 6.2 Model Formulation for Systems with Dead Time.- 6.3 Model Formulation for Multivariable Processes.- 6.4 Model Formulation for Multivariable Processes with Time Delays.- 6.5 Model Formulation in Case of a Limited Control Horizon.- 6.6 Mocca Control Formulation.- 6.7 Non-linear Transformations.- 6.8 Practical Implementation Guidelines.- 6.9 Case Study.- 6.10 Control of a Fluidized Catalytic Cracker.- 6.11 Examples of Case Studies in MATLAB.- 6.12 Control of Integrating Processes.- 6.13 Lab Exercises.- 6.14 Use of MCPC for Constrained Multivariable Control.- References.- 7 Internal Model Control.- 7.1 Introduction.- 7.2 Factorization of Multiple Delays.- 7.3 Filter Design.- 7.4 Feed-forward IMC.- 7.5 Example of Controller Design.- 7.6 LQ Optimal Inverse Design.- References.- 8 Nonlinear Multivariable Control.- 8.1 Non-linear Model Predictive Control.- 8.2 Non-linear Quadratic DMC.- 8.3 Generic Model Control.- 8.3.1 Basic Algorithm.- 8.3.2 Examples of the GMC Algorithm.- 8.3.3 The Differential Geometry Concept.- 8.4 Problem Description.- 8.4.1 Model Representation.- 8.4.2 Process Constraints.- 8.4.3 Control Objectives.- 8.5 GMC Application to the CSTR System.- 8.5.1 Relative Degree of the CSTR System.- 8.5 2 Cascade Control Algorithm.- 8.6 Discussion of the GMC Algorithm.- 8.7 Simulation of Reactor Control.- 8.8 One Step Reference Trajectory Control.- 8.9 Predictive Horizon Reference Trajectory Control.- References.- 9 Optimization of Process Operation.- 9.1 Introduction to Real-time Optimization.- 9.1.1 Optimization and its Benefits.- 9.1.2 Hierarchy of Optimization.- 9.1.3 Issues to be Addressed in Optimization.- 9.1.4 Degrees of Freedom Selection for Optimization.- 9.1.5 Procedure for Solving Optimization Problems.- 9.1.6 Problems in Optimization.- 9.2 Model Building.- 9.2.1 Phases in Model Development.- 9.2.2 Fitting Functions to Empirical Data.- 9.2.3 The Least Squares Method.- 9.3 The Objective Function.- 9.3.1 Function Extrema.- 9.3.2 Conditions for an Extremum.- 9.4 Unconstrained Functions: one Dimensional Problems.- 9.4.1 Newton’s Method.- 9.4.2 Quasi-Newton Method.- 9.4.3 Polynomial Approximation.- 9.5 Unconstrained Multivariable Optimization.- 9.5.1 Introduction.- 9.5.2 Newton’s Method.- 9.6 Linear Programming.- 9.6.1 Example.- 9.6.2 Degeneracies.- 9.6.3 The Simplex Method.- 9.6.4 The Revised Simplex Method.- 9.6.5 Sensitivity Analysis.- 9.7 Non-linear Programming.- 9.7.1 The Lagrange Multiplier Method.- 9.7.2 Other Techniques.- 9.7.3 Hints for Increasing the Effectiveness of NLP Solutions.- References.- 10 Optimization Examples.- 10.1 AMPL: a Multi-purpose Optimizer.- 10.1.1 Example of an Optimization Problem.- 10.1.2 AMPL Formulation of the Problem.- 10.1.3 General Structure of an AMPL Model.- 10.1.4 General AMPL Rules.- 10.1.5 Detailed Review of the Transportation Example.- 10.2 Optimization Examples.- 10.2.1 Optimization of a Separation Train.- 10.2.2 A Simple Blending Problem.- 10.2.3 A Simple Alkylation Reactor Optimization.- 10.2.4 Gasoline Blending.- 10.2.5 Optimization of a Thermal Cracker.- 10.2.6 Steam Net Optimization.- 10.2.7 Turbogenerator Optimization.- 10.2.8 Alkylation Plant Optimization.- References.- 11 Integration of Control and Optimization.- 11.1 Introduction.- 11.2 Description of the Desalination Plant.- 11.3 Production Maximization of Desalination Plant.- 11.4 Linear Model Predictive Control of Desalination Plant.- 11.5 Reactor problem definition.- 11.6 Multivariable Non-linear Control of the Reactor.- References.- Appendix I. MCPC software guide.- I.1 Installation.- I.2 Model identification.- I.2.1 General process information.- I.2.2 Identification data.- I.2.3 Output details.- I.3 Controller design.- I.4 Control simulation.- I.5 Dealing with constraints.- I.6 Saving a project.- Appendix II. Comparison of control strategies for a hollow shaft reactor.- II.1 Introduction.- II.2 Model Equations.- II.3 Proportional Integral Control.- II.4 Linear Multivariable Control.- II.5 Non-linear Multivariable Control.- References.
£44.99
Springer Robotic Process Automation (RPA) in the Financial Sector: Technology - Implementation - Success For Decision Makers and Users
Book SynopsisDieses Buch bringt Ihnen die Robotic Process Automation in der Finanzwirtschaft näher In der Finanzbranche ist das Thema Prozessautomatisierung seit Jahren nicht mehr wegzudenken. Doch wie setzt man solche Veränderungen im Rahmen des Changemanagements erfolgreich und effizient um? Das Buch „Robotic Process Automation in der Finanzwirtschaft“ zeigt es Ihnen. Im Fokus steht der recht junge RPA-Ansatz aus der Intelligent Automation. Dabei imitieren Roboter das menschliche Handeln. Die Eingabe von Befehlen erfolgt direkt über die Oberfläche. So gehören tiefgreifende Softwareveränderungen der Vergangenheit an. Im Zuge dessen klärt dieses Buch u. a. folgende Fragen bezüglich der Robotic Process Automation in der Finanzwirtschaft: • Was ist RPA überhaupt? • Welche Vorteile bringt diese Technologie mit sich? • Welche Erfolgsfaktoren tragen zu einer optimalen RPA-Implementierung bei? • Wie sieht ein mögliches RPA-Kompetenzcenter aus? • Welche Anwendungsbereiche für RPA gibt es? Eine Leseempfehlung für ein breites Zielpublikum Daneben beschäftigen sich die Autoren nicht nur mit dem Ist-Zustand der Robotic Process Automation. Zudem erhalten Sie einen Ausblick auf die zukünftige Entwicklung dieser Software-Lösung. Durch den hohen Praxisbezug ist das Buch speziell für folgende Zielgruppen eine lesenswerte Empfehlung: • Verantwortliche für die Implementierung von Prozessen oder Technologien im IT-Bereich • RPA-Anwender und Personen, die sich dafür interessieren • Erfahrene Experten und Praktiker, die branchenübergreifend mit RPA vertraut sindTable of ContentsAreas of application and examples of TSPs in the financial industry - Technological background - TSP market overview and software solutions - Execution of TSP implementations - Setting up and introducing TSP governance - TSP success factors - Special cases and further developments of TSP technology.
£54.99
Springer Measuring Electronics and Sensors: Basics of Measurement Technology, Sensors, Analog and Digital Signal Processing
Book SynopsisThe book gives an insight into today's operational measurement technology including analysis technology, without claiming to be complete. For the student, the book is an introduction in addition to the relevant textbooks and manuals. It gives the engineer in the profession a quick overview of measurement methods and instruments not familiar to him.In this book not only the components of measurement technology are presented transparently, but also the analog components that are necessary for the construction of measurement and control systems.The theoretical basics and the measuring methods are as much a part of the book as the description of systems, devices and measuring equipment. By indicating measuring ranges and error limits, additional reference points for the application are given, whereby the values mentioned are to be regarded as minimum values due to the constant technical development.This book is a translation of the original German 1st edition Messelektronik und Sensoren by Herbert Bernstein, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2014. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.Table of ContentsFundamentals of measurement technology.- Components of electrical measurement value acquisition.- Embodiment of dimensions.- Sensors.- Analog measurement signal processing.- Digital measurement signal processing.- Measurement signal processing with microcontroller.
£59.99
Springer Fachmedien Wiesbaden Sensor networks in theory and practice:
Book SynopsisThe book provides an important foundation for understanding the Internet of Things by offering insight into common networking protocols from the microcontroller world and introducing important sensors and other devices, as well as their use and programming. All concepts shown are illustrated with practical circuit and programming examples from the authors' many years of experience. In addition, open libraries for controlling the devices presented in the book are available for readers to download from the publisher's home page. The second edition includes some new devices, especially in the area of networks, a more detailed description of the operating principles of some sensors as well as further tips and tricks for programming.Table of Contents
£52.24
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Proceedings of the FISITA 2012 World Automotive Congress: Volume 12: Intelligent Transport System（ITS） & Internet of Vehicles
Proceedings of the FISITA 2012 World Automotive | BookCurl
£161.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Robotics Research: The 13 International Symposium ISRR
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Field and Service Robotics: Results of the 7th International Conference
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Advances in Robotics and Virtual Reality
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Proceedings of the 1st International Workshop on High-Speed and Intercity Railways: Volume 2
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Advances in Autonomous Mini Robots: Proceedings of the 6-th AMiRE Symposium
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