Automatic control engineering Books

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.

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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.

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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.

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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.

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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)

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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.

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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.

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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.

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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

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Proceedings of the FISITA 2012 World Automotive | BookCurl

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Book SynopsisAdvanced Control Systems: Theory and Applications provides an overview of advanced research lines in control systems as well as in design, development and implementation methodologies for perspective control systems and their components in different areas of industrial and special applications.It consists of extended versions of the selected papers presented at the XXV International Conference on Automatic Control “Automatics 2018” (September 18-19, 2018, Lviv, Ukraine) which is the main Ukrainian Control Conference organized by Ukrainian Association on Automatic Control (National member organization of IFAC) and Lviv National University “Lvivska Politechnica”. More than 100 papers were presented at the conference with topics including: mathematical problems of control, optimization and game theory; control and identification under uncertainty; automated control of technical, technological and biotechnical objects; controlling the aerospace craft, marine vessels and other moving objects; intelligent control and information processing; mechatronics and robotics; information measuring technologies in automation; automation and IT training of personnel; the Internet of things and the latest technologies.The book is divided into two main parts, the first concerning theory (7 chapters) and the second concerning applications (7 chapters) of advanced control systems. The first part “Advances in Theoretical Research on Automatic Control” consists of theoretical research results which deal with descriptor control impulsive delay systems, motion control in condition of conflict, inverse dynamic models, invariant relations in optimal control, robust adaptive control, bio-inspired algorithms, optimization of fuzzy control systems, and extremal routing problem with constraints and complicated cost functions. The second part “Advances in Control Systems Applications” is based on the chapters which consider different aspects of practical implementation of advanced control systems, in particular, special cases in determining the spacecraft position and attitude using computer vision system, the spacecraft orientation by information from a system of stellar sensors, control synthesis of rotational and spatial spacecraft motion at approaching stage of docking, intelligent algorithms for the automation of complex biotechnical objects, an automatic control system for the slow pyrolysis of organic substances with variable composition, simulation complex of hierarchical systems based on the foresight and cognitive modelling, and advanced identification of impulse processes in cognitive maps.The chapters have been structured to provide an easy-to-follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area. This book may be useful for researchers and students who are interesting in advanced control systems.Table of Contents Preface List of Contributors Part 1 - Advances in Theoretical Research on Automatic Control (7 chapters) Part 2 - Advances in Control Systems Applications (7 chapters) Index Editor’s biographies.

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Book SynopsisThis book presents novel algorithms for designing Discrete-Time Sliding Mode Controllers (DSMCs) for Networked Control Systems (NCSs) with both types of fractional delays namely deterministic delay and random delay along with different packet loss conditions such as single packet loss and multiple packet loss that occur within the sampling period. Firstly, the switching type and non-switching type algorithms developed for the deterministic type fractional delay where the delay is compensated using Thiran’s approximation technique. A modified discrete-time sliding surface is proposed to derive the discrete-time sliding mode control algorithms. The algorithm is further extended for the random fractional delay with single packet loss and multiple packet loss situations. The random fractional delay is modelled using Poisson’s distribution function and packet loss is modelled by means of Bernoulli’s function. The condition for closed loop stability in all above situations are derived using the Lyapunov function. Lastly, the efficacy of the proposed DSMC algorithms are demonstrated by extensive simulations and also experimentally validated on a servo system.Table of ContentsChapter 1. Introduction and Literature Survey.- Chapter 2. Preliminaries of Network Control System and Sliding Mode Control.- Chapter 3. Design of Discrete-Time Sliding Mode Controller (Switching Type) for Fractional Delay.- Chapter 4. Design of Discrete-Time Sliding Mode Controller (Non-Switching Type) for Fractional Delay.- Chapter 5. Multirate Output Feedback Discrete-Time Sliding Mode Controller for Fractional Delay Compensation.- Chapter 6. Discrete-Time Sliding Mode Controller for Random Fractional Delays and Packet Loss.- Chapter 7. Discrete-Time Networked Sliding Mode Control (DNSMC) with Multiple Packet Transmission Policy.- Chapter 8. Conclusion, Future Scope and Challenges.

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Book SynopsisThis book introduces and illustrates modeling, sensing, and control methods for analyzing, designing, and developing spherical motors. It systematically presents models for establishing the relationships among the magnetic fields, position/orientation and force/torque, while also providing time-efficient solutions to assist researchers and engineers in studying and developing these motors. In order to take full advantage of spherical motors’ compact structure in practical applications, sensing and control methods that utilize their magnetic fields and eliminate the need to install external sensors for feedback are proposed. Further, the book investigates for the first time spherical motors’ force/torque manipulation capability, and proposes algorithms enabling the ball-joint-like end-effector for haptic use based on these motors’ hybrid position/force actuation modes. While systematically presenting approaches to their design, sensing and control, the book also provides many examples illustrating the implementation issues readers may encounter. Table of ContentsIntroduction.- Part One: Modelling Methods for PMSMs.- Distributed Multi-Pole Models.- Magnetic Force/Torque Model for Real-Time Control.- Part Two: Sensing Methods for PMSMs.- Field-Based Orientation Sensing.- A Back-EMF for Multi-DOF Method on a PMSM.- Part 3: Control Methods for PMSMs.- Direct Field-Feedback Control.- A Two-mode Six-DOF Motion System based on a Ball-joint-like PMSM for Haptic Applications.

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Book SynopsisThis book gathers selected research articles from the International Conference on Innovative Product Design and Intelligent Manufacturing System (ICIPDIMS 2019), held at the National Institute of Technology, Rourkela, India. The book discusses latest methods and advanced tools from different areas of design and manufacturing technology. The main topics covered include design methodologies, industry 4.0, smart manufacturing, and advances in robotics among others. The contents of this book are useful for academics as well as professionals working in industrial design, mechatronics, robotics, and automation.Table of ContentsTrack 1: Innovative Product Design.- Design Aesthetics.- Ergonomics Design.- UX/UI Design.- Human Computer Interaction.- Computer Aided Design.- Design for Cost & Sustainability.- Design Creativity & Optimization.- Design for Sustainability.- Track 2: Intelligent Manufacturing Systems.- Artificial Intelligence in Manufacturing processes.- Optimization and simulation.- Process planning and Scheduling.- Smart Manufacturing.- Virtual Manufacturing.- Robotics, Mechatronics & Automation.- Precision engineering and Metrology.- Supply Chain Management.- CAD/CAM/CAE.

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Book SynopsisThis book introduces state-of-the-art models and methods based on the neuroendocrine-immune-inspired approaches in the field of manufacturing control systems. It develops various bio-inspired intelligent approaches for multiple applications in order to efficiently generate production plans and control solutions and agilely deal with the frequent unexpected disturbances at the shop floor level. It also provides an introduction to bio-inspired manufacturing systems with intelligent control structures and the latest technologies. Further, the book describes recent advances in the bio-inspired methodology for a high-level adaptability in manufacturing systems, including the bio-inspired control architecture and the implementation of intelligent and adaptive control approaches based on neuroendocrine-immune mechanisms and hormone-regulation principles. It offers a valuable resource for graduate students, researchers and engineers in the fields of production management, manufacturing system control and related areas. Table of ContentsBio-Inspired Manufacturing System Model.- Hormone-regulation based Algorithm for Production Scheduling Optimization.- NeuroEndocrine-regulation based Dynamic Coordination Mechanism in Bio-Inspired Manufacturing System.- Hormone-regulation based approach for distributed and on-line scheduling of machines and AGVs.- Production control strategy inspired by neuroendocrine regulation.- NeuroEndocrine-Immune regulation based approach for disturbance handling.- Prototype and Application of the Bio-Inspired Manufacturing System.

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Book SynopsisThis book presents the proceedings of the 6th International Conference on Electrical, Control and Computer Engineering (InECCE 2021), held in Kuantan, Pahang, Malaysia, on 23 August 2021. The topics covered are sustainable energy, power electronics and drives and power engineering including distributed/renewable generation, power system optimization, artificial/computational intelligence, smart grid, power system protection and machine learning energy management and conservation. The book showcases some of the latest technologies and applications developed to solve local energy and power problems in order to ensure continuity, reliability and security of electricity for future generations. It also links topics covered the sustainable developed goals (SDGs) areas outlined by the United Nation for global sustainability. The book will appeal to professionals, scientists and researchers with experience in industry.Table of ContentsPART I Sustainable Energy and Power EngineeringDynamic Partial Discharge Characteristic for Onsite Measurement Based on Zero Crossing in Power Cable (TESTING NO 2)A. Z. Abdullah, Z. H. Bohari, N. Azizan, M. IsaPartial Discharge Detection Performance Using Multi-Cylindrical Slots Antenna with Parasitic Suppression Patch for Power Transformer (TESTING NO 3)Z. H. Bohari, M. Isa, A. Z. Abdullah, P. J. Soh, A. N. Nanyan, and M. F. SulaimaReliability Performance in Distribution System based on the Amount of Power supply by Generators and Synchronous Compensators in the SystemNoorFatin Farhanie Mohd Fauzi, Nur Nabihah Rusyda Roslan, Mohd Ikhwan Muhammad RidzuanOptimal Loading Analysis with Penalty Factors for Generators Using Brute Force MethodMohammad Khurshed Alam, Mohd Herwan SulaimanUsing the Barnacles Mating Optimizer with Effective Constraints Handling Technique for Cost Minimization of Optimal Power Flow Solution Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari and Ahmad Johari MohamadModelling of Power Curve Equation for Small-Scale Vertical Axis Hydrokinetic TurbineW.I. Ibrahim, M. R. Mohamed and R. M. T. R. IsmailHigh Gain Boost Converter for Electrical Vehicle (EV) ApplicationM. Z. Aihsan, M. M. Azizan, M. I. Fahmi, A. M. Yusof and M. F. HarizAnalysis on the Projectile Speed for Different Initial Voltage and Projectile Position for 6-Stage and 10-Stage Reluctance AcceleratorsKhairul Amin Abu Johan, Nabil Fikri Idris and Anwar Hasni Abu HassanLight Bulbs Comparison from Different Brand and Working PrincipleM.S. Sutrisno, S. Nurulain, N. O. Sharif, M. R. Salim, H. ManapHotspot Detection in Photovoltaic Array using Thermal Imaging MethodMohd Shawal bin Jadin, Shahira Farhana Ahmad Safian, Kamarul Hawari Ghazali,A Device for Evaluating Photovoltaic (PV) Module Output Performance and Degradation Mohd Shawal bin Jadin, Athirah Surimin¬, Norizam Sulaiman, Airul Sharizli Abdullah and Fairuz Rizal Mohamad RashidiPerformance of 2-DOF PID Controller in AGC of Two Area Interconnected Power System Using PSO Algorithm.K. Peddakapu, M. R. Mohamed, P. Srinivasarao, D J.K. Kishore, D.A. Koteswararao, P.S P R SwamyLoss Minimization of Optimal Power Flow with Stochastic Solar Power Generation Using Improved Salp Swarm AlgorithmZuriani Mustaffa and Mohd Herwan SulaimanUtilization and Evaluation of Heat from Asphalt Pavement to Produce Power Using Thermoelectric PlateKhairul Anwar Bin Khalid, Aimie Nazmin Azmi, Aziah KhamisAnalysis of Partial Discharge Activity in High Voltage XLPE Insulation as a Function of Different Void Sizes and Locations Using the Capacitance ModelMohanned Khalid Elemary, Hadi Nabipour Afrouzi, Chin-Leong Wooi, Kamyar Mehranzamir, Zulkurnain Abdul Malek and Jubaer AhmedComparative Analysis of 5-level Multilevel Inverter with Reduced Switched TopologyM. H. Arshad, B. Ismail, M. Z. Aihsan , Z. M. Isa and S. KhodijahComparative Study on Various Type of Lightning Arrester at Solar FarmS. S. Wahdain, M. S. Hissam and A. I. MohamedTiming Control of Streamer Initiation and Electrospray Generation for Waste Water TreatmentShinji Yudate, Ryosuke Tamada, Tatsuya Takahashi, Ryotaro Ozaki, Kazunori KadowakiPerformance Analysis of Single-Phase Inverter using SEPIC Converter Iman Alyzza Zunnurain, Koh Mun Yumi and Mohd Haris FaisalA Hybrid Optimization Approach for Power Loss Reduction and Voltage Profile Improvement in Distribution System Noor Najwa Husnaini Mohammad Husni, Siti Rafidah Abdul Rahim and Mohd Rafi Adzman Study and Analysis of Harmonic Current Generation in Uncontrolled Rectifier with RLC Load Noradniazman Abd Aziz and Yushaizad YusofSelective Harmonic Minimization in Multilevel Inverter with Cascaded DC sources using Nature-Inspired Optimization Algorithm Y. W. Sea, W. T. Chew, J. S. Ong, W.V. Yong, N. S. Ahmad and J. H. LeongOptimization of Distributed Generation Using Mix-Integer Optimization by Genetic Algorithm (MIOGA) Considering Load Growth Che Muhamad Asad Safwan, Norhafidzah Mohd Saad, Mohammad Fadhil Abas, Suliana Ab-Ghani and Abid AliOptimization of Radial Distribution Network With Distributed Generation using Particle Swarm Optimization Considering Load Growth Muhammad Al Amin Abdullah, Norhafidzah Mohd Saad, Mohammad Fadhil Abas, Norazila Jaalam and Abid Ali Evaluating Performance enhancement of Surfactant-added Nano-enhanced Phase Change Material (SNPCM) on PV Module Nurul Humaira Binti Muhd Zaimi, Amirjan Bin Nawabjan, Shaharin Fadzli Abdul Rahman, Siti Maherah Binti Hussin and Hasimah Abdul RahmanA High Accuracy Control of Dual Active Bridge DC-DC Converter using PSO Online Direct Tuning Suliana Ab-Ghani, Hamdan Daniyal, Nur Huda Ramlan, Norhafidzah Mohd Saad and Meng Chung TiongRule-based-Iterative Energy Management System for Islanded Hybrid Microgrid System Ng Rong Wee and J. J. JamianA Simulation Study of Wireless Power Transfer for Electric VehicleMohd.M. M.I., Bakar. M.S. and Jadin M.SSpatio-temporal characteristics of energetic lightning in Southeast Asia: Preliminary statistical results Shunsuke Akama, Yasuhide Hobara, Amir Izzani Mohamed, Chandima Gomes, Kazuo Shiokawa, Shu Hirai, Hiroshi Kikuchi and Michael StockSpatio-temporal distributions of lightning stroke charge using ELF and Meteorological Data Yasuhide Hobara, Takuhiko Ohashi, Tomonori Shiraishi and Kazuo ShiokawaPART II Control, Instrumentation and Artificial Intelligent SystemsComparative Study of Controller Performance for Variable Speed Compressor Using R600a RefrigerantM. N. Rajaie, M. Saifizi, S. M. Othman, W. A. MustafaA Retention Ability of Velocity Profile in Multi-Stage Fluidization SystemsM.S.M. Shabri, M.A.M. Nawi, M.S. Zakaria, N.M. Musa, M.A.R. Alias, and R.M.Z.R. IbrahimAssessing the Chaotic Map Population Initializations for Sine Cosine Algorithm Using the Case Study of Pairwise Test Suite GenerationFakhrud Din, Kamal Z. Zamli and Abdullah B. NasserLevy Slime Mould Algorithm for Solving Numerical and Engineering Optimization ProblemsJulakha Jahan Jui, Mohd Ashraf Ahmad and Muhammad Ikram Mohd RashidProstate Cancer Prediction Using Feedforward Neural Network Trained with Particle Swarm OptimizerJulakha Jahan Jui, M.M. Imran Molla, Mohammad Khurshed Alam and Asma Ferdowsi An Open-source, Miniature UV to NIR Spectrophotometer for Measuring the Transmittance of Liquid MaterialsAnas Mohd Noor, Ahmad Nasrul Norali, Zulkarnay Zakaria, Chong Yen Fook and Basri Noor CahyadiLevy Tunicate Swarm Algorithm for Solving Numerical and Real-World Optimization ProblemsJulakha Jahan Jui, Mohd Ashraf Ahmad and Muhammad Ikram Mohd RashidSine-based Barnacle Mating Optimization for PD Control of an Inverted Pendulum SystemAlmaa Anwari Roslan, Ahmad Nor Kasruddin Nasir, Mohd Falfazli Mat Jusof, Ahmad Azwan Abd Razak and Mohd Ashraf Ahmad A New Hybrid Image Encryption Technique using Lorenz Chaotic System and Simulated Kalman Filter (SKF) AlgorithmNurnajmin Qasrina Ann, Dwi Pebrianti, Mohd Fadhil Abas, Luhur BayuajiClassification of Domestic Electrical Appliances Based on Starting Transient Using Artificial Intelligence MethodsTarmizi Ahmad Izzuddin, Norlaili Mat Safri, Ong Sze Munn, Zamani Md Sani, Mohamad Na’im Mohd Nasir Water-based Energy Production using PI ControllerN. I. H. M. Ali, N. I. Ahmad, M.Z. Aihsan, D. H. A. Rahman, M. S. Abdul Rahim, N. Azizan, H. Mokhtarddin, B. M. Jalaludin, A. A. H. Zaidi, A. SalehManta Ray Foraging Optimization with Quasi-Reflected Opposition Strategy for Global OptimizationAhmad Azwan Abdul Razak, Ahmad Nor Kasruddin Nasir, Nor Maniha Abdul Ghani, Mohd Falfazli Mat JusofDesign and Implementation of Closed-loop PI Control Strategies in Real-time for Linear ARMAX Models of Vapour Compression Refrigeration System using R600a RefrigerantM. N. Rajaie, M. Saifizi, S. M. Othman, W. A. MustafaParticle Swarm Optimization with Modified Initialization Scheme for Numerical OptimizationWy-Liang Cheng, Koon Meng Ang, Zhi Chuan Choi, Wei Hong Lim, Sew Sun Tiang, Elango Natarajan, Chun Kit Ang, Mohamed Khan Afthab Ahamed KhanA Simple Design of a Matlab-Based Function for Topographical Presentation of FNIRS DataTalukdar Raian Ferdous, Rifath Hasan, Mohammad Khurshed Alam, Muhammad Muinul Islam, and Md. Asadur Rahman Moth Flame Optimization Maximum Power Point Tracking Algorithm for Photovoltaic System under Partial Shaded ConditionsMeng Chung Tiong, Hamdan Daniyal, Mohd Herwan Sulaiman, Mohd Shafie BakarPerformance Measure of Case Based Reasoning (CBR) for Ammonia in Water by Specific ConcentrationMuhamad Faruqi Zahari, Muhammad Sharfi Najib, Suhaimi Mohd Daud, Mujahid Mohamad, Nur Farina Hamidon MajidClassification for Ammonia in Water by Specific Concentration using Artificial Neural Network (ANN)Muhamad Faruqi Zahari, Muhammad Sharfi Najib, Suhaimi Mohd Daud, Mujahid Mohamad, Suziyanti ZaibThe Classification of Meat Odor-profile using K-Nearest Neighbors (KNN)Nur Farina Hamidon Majid, Muhammad Sharfi Najib, Muhamad Faruqi Zahari, Suziyanti Zaib and Tuan Sidek Tuan MudaThe Classification of Meat Odor-profile using K-Nearest Neighbors (KNN)Nur Farina Hamidon Majid, Muhammad Sharfi Najib, Muhamad Faruqi Zahari, Suziyanti Zaib and Tuan Sidek Tuan MudaThe Study of Groundwater Source by using KNN ClassificationSuziyanti Zaib, Muhammad Sharfi Najib, Suhaimi Mohd Daud, Muhammad Faruqi Zahari and Mujahid MohamadkNN: Classification of Agarwood Types in Oil and Wooden Using E-noseMujahid Mohamad, Muhammad Sharfi Najib, Saiful Nizam bin Tajuddin, Suhaimi Mohd Daud, Nur Farina Hamidon Majid, Suziyanti Zaib, and Muhamad Faruqi ZahariLubricant Oil Odor-Profile Classification using Case based Reasoning Intelligent Classification MethodSuhaimi Mohd Daud, Muhammad Sharfi Najib, Saiful Nizam Tajuddin, Muhamad Faruqi Zahari, Nur Farina Hamidon Majid, Suziyanti Zaib and Mujahid MohamadIntermittent Measurement and Finite Escape Time Correlations Study in H∞ Filter In NavigationHamzah Ahmad, Mohd Syakirin Ramli, Nur Aqilah Othman, Badaruddin Mohamad and Mohd Mawardi SaariA Novel Hybrid Extreme Learning Machine-Whale Optimization Algorithm for Bearing Fault DiagnosisM Firdaus Isham, M. S. R. Saufi and Amirul. A. R.Development of Low-Cost Remote Sensing System for Air Quality Monitoring Using Flying Wing UAV PlatformDhiya Syakir Bin Zulkifli and Ahmad Anas Bin YusofPerformance Analysis of Spraying Coverage Rate by using Mobile Robot for Pesticide Spraying Application on Chili Fertigation FarmA. M. Kassim, S. Said, M. M. Roslan, S. Sahak, M. A.S. A. Aziz, M.R. Yaacob, W.M. Bukhari, M. A. A Abid, A. H. Azahar, D. A. Prasetya and A. K. R. A. JayaA BASIC Language Compiler for PLC ApplicationsZulfakar Aspar and Nurul Huda Abd RahmanRobust Nonlinear Liquid Level Control of a Coupled-tank System using Backstepping Integral Sliding Mode ControlMaziyah Mat-Noh, Hamzah Ahmad, Nur Aqilah Othman, Dwi Pebrianti and Herdawatie Abdul KadirPower Production Optimization of Model-Free Wind Farm using Smoothed Functional AlgorithmRen Hao Mok and Mohd Ashraf AhmadPART III Applied Electronics and Computer EngineeringDevelopment of IoT based Smart Sorting Recycle Bin using Raspberry Pi3 B+Shahrulazlan Che Abdul Ghani, Yasmin Abdul Wahab, Nurhafizah Abu Talip@Yusof, Mohd Mawardi Saari, Rohana Abdul Karim, Nor Farizan Zakaria, Nurul Wahidah Arshad and Mohd Razali DaudDiagnosis of Hearing Impairment Based on Wavelet Transformation and Machine Learning ApproachMd Nahidul Islam, Norizam Sulaiman and Mahfuzah MustafaBrainwave Distribution of Cognitive Activities Between Normal and Dyslexia ChildrenEngku Mohd Nasri Engku Mat Nasir, Norfaiza Fuad, Mohd Erwandi Marwan, and Norfatin AkilaSelf-Powered Solar Patch Antenna at 5.8 GHz for wireless surveillance monitoringKeerrthenan Yoorththeran and Noorlindawaty Md JizatDiscontinuities Classification using Texture Features and Support Vector MachineHaniza Yazid 1[0000-0003-1760-2473], Khairul Salleh Basaruddin, Muhammad Juhairi Aziz Safar and Hafizal YazidAutomatic Brain Tumor Detection using Feature Selection and Machine Learning from MRI ImagesA. S. M. Shafi1, Md. Mahmudul Hasan, M. M. Imran Molla, Mohammad Khurshed Alam and Md. Tarequl IslamGas Detection System for Dry and Wet Cupping ProcessMohd Riduwan Ghazali, Nursyazwani Khazanah, Wan Ismail Ibrahim, and Mohd Falfazli Mat JusoComparative Study on Hyperspectral Image Enhancement for Low Illumination Outdoor Scenes ImagesLee Yong Quan, Rohana Abdul Karim, Nurul Wahidah Arshad, Nor Farizan Zakaria, Wan Nur Azhani Binti W. Samsudin, Yasmin Abdul Wahab, and Adhi Harmoko SaputroOptimized Set of Parallel Atrous Convolutions for ShuffleNet V2Siti Raihanah Abdani, Mohd Asyraf Zulkifley and Nuraisyah Hani ZulkifleyTomato Leaf Health Monitoring System with SSD and MobileNetJia Wei Low, Sew Sun Tiang, Wei Hong Lim, Ying Hai Chonga and Yoon Nam VoonUnderstanding Domain Knowledge in Initialization Method for K-Mean Clustering Algorithm in MedicalImagesXiao Jian Tan, Nazahah Mustafa, Mohd Yusoff Mashor, Khairul Shakir Ab Rahman, Wan Zuki Azman Wan Muhamad, Wai Zhe Leow, Wai Loon Cheor, and Qi Wei OungMalware Attack Forecasting by using Exponential SmoothingMohd Nizamuddin Abas, Siti Zura A. Jalil and Siti Armiza Mohd ArisTraffic Light (Circle) Detection and Recognition using YOLO and Image Processing TechniqueZamani Md Sani, Mohd Iqbal Farez bin Saari and Tarmizi Ahmad IzzudinImprovement of Disparity Measurement of Stereo VisionAlgorithm using Modified Dynamic Cost VolumeAhmad Fauzan, Rostam Affendi, Nurulfajar, Mohd Saad,, Nadzrie, and Khairul AzhaNutrient Pump Controller based on IoT Application for Aquascape Environmental TreatmentDaniel Patricko Hutabarat, Rudy Susanto, and SMNA SenanayakeHuman Behaviors Classification using Deep Learning TechniqueCheang Chi Shun, Mohd Zamri bin Ibrahim and Ikhwan Hafiz bin MuhamadClassification of Electromyography Signal from Residual Limb of Hand AmputeesAhmad Nasrul Norali1,2, Anas Mohd Noor, Zulkarnay Zakaria, Yasser Said, Mohammed Al-Mahdi, Chong Yen Fook and Asyraf Hakimi Abu BakarImplementation of Artificial Neural Network to Recognize Numbers from VoiceFatin Nur Amalina bt Zainol and Mohd Zamri bin IbrahimAnalysis of Feed-Forward Connections for Apex Frame SpottingKoo Sie Min, Mohd Asyraf Zulkifley, Nor Azwan Mohamed Kamari and Asraf Mohamed MourbarkComputer-Vision-Based Integrated Circuit Recognition Using Deep LearningYoon Nam Voon, Koon Meng Ang, Ying Hai Chong, Wei Hong Lim, and Sew Sun TiangU-Slot Microstrip Patch Array Antenna for UHF RFID Reader Mohd Hisyam Mohd Ariff, Imran Saifullah, Rahimah Jusoh, Mohammed Nazmus Shakib and Mohammad Fadhil AbasEmotion State Recognition Using Band Power of EEG SignalsN. F. A. Halim, N. Fuad, M. E. Marwan and E. M. N. E. M NasirFeature Selection and Prediction of Heart Disease Using Machine Learning Approaches M. M. Imran Molla, Md. Sakirul Islam, A. S. M. Shafi, Mohammad Khurshed Alam, Md. Tarequl Islam and Julakha Jahan JuiOptimizing Machine Learning For Yield Improvement Opportunity Hazmarini Husin, Aeizaal Azman A.Wahab and Rosmiwati Mohd MokhtarFPGA Implementation of Convolutional Neural Network for Defect Identification on Swiven Cap Ngei Siong Wong, Bakhtiar Affendi Rosdi, Muhammad Firdaus Akbar Jalaludin Khan and Mohd Shahrimie Mohd AsaariA Digital Dual-phase Lock-in Amplifier for MFL and ECT NDT ApplicationsMohd Aufa Hadi Putera Zaini, Mohd Mawardi Saari, Nurul A’in Nadzri and Zulkifly AzizDevelopment of Savonius Vertical Windmill with Charging System N.A.W.A Halim, D.H.A Rahman, N.I Ahmad, H. M. Habibah, N Kimpol, N Azizan, A.Z.Abdullah, N.S. ZakariaMalaysian Vehicle License Plate Recognition Using Deep Learning and Computer VisionKuken Raj Pugalenthy, Mohd Zamri bin Ibrahim, Ahmad Afif bin Mohd Faudzi and Md Rizal Bin OthmanU-Net with Atrous Spatial Pyramid Pooling for Skin Lesion SegmentationMarzuraikah Mohd Stofa, Mohd Asyraf Zulkifley, Muhammad Ammirrul Atiqi Mohd Zainuri and Ahmad Asrul IbrahimDetecting Mobile Producer’s Position in a Wireless Named Data Network Environment using Signal StrengthMuhammed Zaharadeen Ahmed, Othman Omran Khalifa, Aisha Hassan Abdal-lah Hashim, Abdulkadir Hamidu Alkali, Belal Ahmed Hamida, and Hafsat Suleiman JaloImage Processing Approach for Detection and Quantification of Corrosion Behaviour of AZ91D Magnesium Alloy.Zuraila Iberahim, Mohd Zamzuri Mohammad Zain, Abdul Halim Ismail, Juliawati Alias, Muhammad Aiman Ahmad Fozi, Nooraizedfiza Zainon and Marina MarzukiMulti-class Imbalanced Classification Problems in Network Attack DetectionsSoon Hui Fern, Amiza Amir and Saidatul Norlyana AzemiBackground Subtraction Algorithm Comparison on the Raspberry Pi Platform for Real Video Datasets I.Iszaidy, R. Ngadiran, N. Ramli, A.R.A Nazren,N.M. Wafi,M.I JaisThree Dimension (3D) Indoor Positioning via Received Signal Strength Indicator in Internet of ThingsNur Haliza Abdul Wahab, N. Syazwani C. J, Sharifah H. S. Ariffin, Noor-hazirah Sunar and Nuraini Huda A.KA Near Infrared Image of Forearm Subcutaneous Vein Extraction Using U-NetNuraini Huda A. K., Nur Haliza Abdul Wahab, Goh Chuan Meng, C. H. Lim, Sayed Ahmad Zikri Sayed Bin Sayed Aluwee, Mohd Nazri Bajuri, S. Zaleha. HDeep Neural Network for Localizing Gas Source based on Gas Distribution Map Zaffry Hadi Mohd Juffry, Kamarulzaman Kamarudin, Abdul Hamid Adom, Xiaoyang MAO, Latifah Munirah Kamarudin, Ammar Zakaria, Syed Muham-mad Mamduh and Abdulnasser Nabil AbdullahDesign and Performance Enhancement of Triple Band Antenna using Metamaterial Superstrate for Wireless CommunicationsM. R. Rana and Md. Biplob HossainUndersampling and Oversampling Strategies for Convolutional Neural Networks Classifier Siti Raihanah Abdani, Mohd Asyraf Zulkifley and Nuraisyah Hani ZulkifleyPneumonia Identification from Chest X-rays (CXR) Using Ensemble Deep Learning ApproachNg Weng Mun, Mahmud Iwan Solihin, Li Sze Chow and Affiani MachmudahA Novel Blade Fault Diagnosis Using A Deep Learning Model Based On Image And Statistical AnalysisSyahril Ramadhan Saufi, M. Firdaus Isham and M. Danial Abu HassanPerformance Analysis of Developed Multi Soil Sensor System for Smart Farming SystemA. M. Kassim, N. A. Kamarudin, M. A.S. A. Aziz1A. Z. Shukor, M.R. Yaacob, W.M. Bukhari, M. A. A Abid, A. H. Azahar, A. K. R. A. Jaya and D. A. PrasetyoPower Consumption by using Various Type of Battery and Spectacle Design in Wearable Travel Aid Device for Visually Impaired PersonA.M. Kassim, N. N. Ayub, A. Z. Shukor, M.R. Yaacob, W.M. Bukhari, M. A. A Abid, A. H. Azahar, D. A. Prasetya and A. K. R. A. Jaya

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Book SynopsisThe book focuses on Pareto optimality in cooperative games. Most of the existing works focus on the Pareto optimality of deterministic continuous-time systems or for the regular convex LQ case. To expand on the available literature, we explore the existence conditions of Pareto solutions in stochastic differential game for more general cases. In addition, the LQ Pareto game for stochastic singular systems, Pareto-based guaranteed cost control for uncertain mean-field stochastic systems, and the existence conditions of Pareto solutions in cooperative difference game are also studied in detail. Addressing Pareto optimality for more general cases and wider systems is one of the major features of the book, making it particularly suitable for readers who are interested in multi-objective optimal control. Accordingly, it offers a valuable asset for researchers, engineers, and graduate students in the fields of control theory and control engineering, economics, management science, mathematics, etc.Trade Review“The book provides a concise, clear summary of its subject matter. It will be a valuable reference for researchers looking to apply models of cooperative dynamic games in their work.” (Thomas Wiseman, zbMATH 1519.91003, 2023)Table of ContentsIntroduction.- Existence conditions of Pareto solutions in the finite horizon stochastic differential game.- Existence conditions of Pareto solutions in the infinite horizon stochastic differential game.- LQ Pareto game of the stochastic singular systems in finite horizon.- LQ Pareto game of the stochastic singular systems in infinite horizon.- Pareto-based guaranteed cost control of the uncertain mean-field stochastic systems.- Existence conditions of Pareto solutions in the finite horizon cooperative difference game.- Existence conditions of Pareto solutions in the infinite horizon cooperative difference game.- References.

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Book SynopsisToday, the development of robots is making steady advances. In particular, the Robot Operating System (ROS) offers a unified platform that greatly facilitates the development of robots and has become a new hotspot for learning and application in the field of robotics research.This book introduces readers to the key technologies and development methods for ROS-based intelligent robots. Covering both the development history of robots and various aspects of programming robots, it offers effective support for beginners.The book is divided into three parts, the first of which introduces the basics of robots, including their definition, development, composition, and key technologies. In turn, the second part covers the hardware and software components and the implementation of functions such as vision, speech, grasping, and autonomous navigation. These functions need to work together to provide user-friendlier and more intelligent service. The third part shows how to develop robots with different functions in different application scenarios.Combining theoretical and practical aspects, with a strong focus on application, this work can be used as a reference book for robotics-related courses. Moreover, it will benefit all readers who are interested in intelligent robot development, sharing essential insights into developing service robots based on ROS.Trade Review“The book is an effective tutorial for using ROS. So embark on reading it if you intend to adopt ROS, either by delivering your software or for using available software on your robot.” (G. Gini, Computing Reviews, July 17, 2023)Table of ContentsChapter 1 Introduction to Robots.- Chapter 2 Getting Started with ROS.- Chapter 3 The framework of ROS.- Chapter 4 Programming with ROS.- Chapter 5 Introduction to Turtlebot Robot .- Chapter 6 Robot Vision: Theory and Implementation.- Chapter 7 Advanced Robot Vision.- Chapter 8 Robot Autonomous Navigation: Theory and Implementation.- Chapter 9 Robot Speech: Theory and Implementation.- Chapter 10 Robotic Hands, Grasping and Manipulation.- Chapter 11 Case 1: Long command recognition and multi-task execution.- Chapter 12 Case 2: Follow and assist the user.- Chapter 13 Case 3: Restaurant scenario: wave hand to order food.

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Book SynopsisBeginning with the basics and moving gradually to greater challenges, this book takes you step-by-step through experiments and projects that show you how to make your Arduino or Raspberry Pi create and control movement, light, and sound. In other words: action!

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Book SynopsisIn this book, Tewari emphasizes the physical principles and engineering applications of modern control system design. Instead of detailing the mathematical theory, MATLAB examples are used throughout.Table of ContentsPreface xiii 1. Introduction 1 1.1 What is Control? 1 1.2 Open-Loop and Closed-Loop Control Systems 2 1.3 Other Classifications of Control Systems 6 1.4 On the Road to Control System Analysis and Design 10 1.5 MATLAB, SIMULINK, and the Control System Toolbox 11 References 12 2. Linear Systems and Classical Control 13 2.1 How Valid is the Assumption of Linearity? 13 2.2 Singularity Functions 22 2.3 Frequency Response 26 2.4 Laplace Transform and the Transfer Function 36 2.5 Response to Singularity Functions 51 2.6 Response to Arbitrary Inputs 58 2.7 Performance 62 2.8 Stability 71 2.9 Root-Locus Method 73 2.10 Nyquist Stability Criterion 77 2.11 Robustness 81 2.12 Closed-Loop Compensation Techniques for Single-Input, Single-Output Systems 87 2.12.1 Proportional-integral-derivative compensation 88 2.12.2 Lag, lead, and lead-lag compensation 96 2.13 Multivariable Systems 105 Exercises 115 References 124 3. State-Space Representation 125 3.1 The State-Space: Why Do I Need lt? 125 3.2 Linear Transformation of State-Space Representations 140 3.3 System Characteristics from State-Space Representation 146 3.4 Special State-Space Representations: The Canonical Forms 152 3.5 Block Building in Linear, Time-Invariant State-Space 160 Exercises 168 References 170 4. Solving the State-Equations 171 4.1 Solution of the Linear Time Invariant State Equations 171 4.2 Calculation of the State-Transition Matrix 176 4.3 Understanding the Stability Criteria through the State-Transition Matrix 183 4.4 Numerical Solution of Linear Time-Invariant State-Equations 184 4.5 Numerical Solution of Linear Time-Varying State-Equations 196 4.6 Numerical Solution of Nonlinear State-Equations 204 4.7 Simulating Control System Response with SIMULINK 213 Exercises 216 References 218 5. Control System Design in State-Space 219 5.1 Design: Classical vs. Modern 219 5.2 Controllability 222 5.3 Pole-Placement Design Using Full-State Feedback 228 5.3.1 Pole-placement regulator design for single-input plants 230 5.3.2 Pole-placement regulator design for multi-input plants 245 5.3.3 Pole-placement regulator design for plants with noise 247 5.3.4 Pole-placement design of tracking systems 251 5.4 Observers, Observability, and Compensators 256 5.4.1 Pole-placement design of full-order observers and compensators 258 5.4.2 Pole-placement design of reduced-order observers and compensators 269 5.4.3 Noise and robustness issues 276 Exercises 277 References 282 6. Linear Optimal Control 283 6.1 The Optimal Control Problem 283 6.1.l The general optimal control formulation for regulators 284 6.1.2 Optimal regulator gain matrix and the riccati equation 286 6.2 Infinite-Time Linear Optimal Regulator Design 288 6.3 Optimal Control of Tracking Systems 298 6.4 Output Weighted Linear Optimal Control 308 6.5 Terminal Time Weighting: Solving the Matrix Riccati Equation 312 Exercises 318 References 321 7. Kalman Filters 323 7.1 Stochastic Systems 323 7.2 Filtering of Random Signals 329 7.3 White Noise, and White Noise Filters 334 7.4 The Kalman Filter 339 7.5 Optimal (Linear, Quadratic, Gaussian) Compensators 351 7.6 Robust Multivariable LQG Control: Loop Transfer Recovery 356 Exercises 370 References 371 8. Digital Control Systems 373 8. l What are Digital Systems? 373 8.2 A/D Conversion and the z-Transform 375 8.3 Pulse Transfer Functions of Single-Input, Single-Output Systems 379 8.4 Frequency Response of Single-Input, Single-Output Digital Systems 384 8.5 Stability of Single-Input, Single-Output Digital Systems 386 8.6 Performance of Single-Input, Single-Output Digital Systems 390 8.7 Closed-Loop Compensation Techniques for Single-Input, Single-Output Digital Systems 393 8.8 State-Space Modeling of Multivariable Digital Systems 396 8.9 Solution of Linear Digital State-Equations 402 8.10 Design of Multivariable, Digital Control Systems Using Pole-Placement: Regulators, Observers, and Compensators 406 8.11 Linear Optimal Control of Digital Systems 415 8.12 Stochastic Digital Systems, Digital Kalman Filters, and Optimal Digital Compensators 424 Exercises 432 References 436 9. Advanced Topics in Modern Control 437 9.1 Introduction 437 9.2 H∞ Robust, Optimal Control 437 9.3 Structured Singular Value Synthesis for Robust Control 442 9.4 Time-Optimal Control with Pre-shaped Inputs 446 9.5 Output-Rate Weighted Linear Optimal Control 453 9.6 Nonlinear Optimal Control 455 Exercises 463 References 465 Appendix A: Introduction to MATLAB, SIMULINK and the Control System Toolbox 467 Appendix B: Review of Matrices and Linear Algebra 481 Appendix C: Mass, Stiffness, and Control Influence Matrices of the Flexible Spacecraft 487 Answers to Selected, Exercises 489 Index 495

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Book SynopsisControl theory, an interdisciplinary topic within the study of dynamical systems, is an important but often overlooked part of a physicist's education. This is the first broad and complete treatment of the subject specifically tailored for physicists, spanning the basics to the most recent advances.Trade Review'Exceptionally well written, organized and presented, Control Theory for Physicists is an ideal and comprehensive volume that is unreservedly recommended as a curriculum textbook. While a core addition to college and university library Mathematical Physics & Calculus collections, it should be noted for students, academia, physicists, and non-specialist general readers with an interest in the subject …' Midwest Book Review'… will enhance appreciation of the limits of practical applications of physics, especially those associated with thermodynamics and information theory … Highly recommended.' E. Kincanon, Choice Connect'This is a rare example of a textbook that is concise yet clear, math dense yet very accessible, and rigorous yet beautifully written. The treatment throughout prioritizes first-principles descriptions, with an emphasis on not only when control works but also when it fails. It includes well-contextualized examples and well-formulated problems. It is ready for classroom use, with additional resources for instructors-such as a solution manual and associated Mathematica notebooks-available from the publisher. A 100-page supplement on background mathematics is also available on the publisher's website, which provides a comprehensive review of key mathematical topics. As already noted by Hugo Touchette in his back cover endorsement, this book may indeed lead more departments to include control theory in their curriculum.' Adilson E. Motter, Professor of Physics and Astronomy at Northwestern University, Illinois, IEEE Control Systems'… Together with information theory, control theory is the area of engineering that has the most fundamental lessons to teach physicists, and John Bechhoefer's recent textbook, Control Theory for Physicists, is an excellent place to start learning them … the pedagogical presentation of the material in the book perfectly complements its engaging subject matter.' Michael Hinczewski, The BiophysicistTable of ContentsPart I. Core Material: 1. Historical introduction; 2. Dynamical systems; 3. Frequency-domain control; 4. Time-domain control; 5. Discrete-time systems; 6. System identification; Part II. Advanced Ideas: 7. Optimal control; 8. Stochastic systems; 9. Robust control; 10. Adaptive control; 11. Nonlinear control; Part III. Special Topics: 12. Discrete-state systems; 13. Quantum control; 14. Networks and complex systems; 15. Limits to control.

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Book SynopsisNew York Times bestselling author Deepak Chopra delivers a visionary and unprecedented exploration of how artificial intelligence can revolutionize well-being and open new horizons for personal development.“AI has the potential to help us create a more peaceful, just, sustainable, healthy, and joyful world. Digital Dharma shows you a path.”—Sam Altman, CEO of OpenAIIn a world captivated yet bewildered by artificial intelligence, spiritual icon Deepak Chopra, MD, illuminates AI’s untapped potential to unravel the enigma of consciousness, positioning AI not as a threat but as a catalyst for personal and collective growth. In Digital Dharma, Chopra navigates the balance between technology and expanded awareness, explaining that while AI cannot duplicate human intelligence, it can vastly enhance personal and spiritual growth.Chopra shows readers how the most popular, freely available chatbots can serve as guides through every level of human potential—survival and safety, emotional connection, self-worth, abundance, creativity, wisdom, and the infinite possibilities of cosmic consciousness. AI chatbots offer information, advice, and exploratory avenues of untapped potential about any aspect of human awareness. In practical terms, making AI your ally and guide depends on the art of the prompt, the questions a user poses to a chatbot. As Chopra shows in detail, by asking the right questions, you can bring AI into your inner world, which is where personal growth happens. Chopra provides a personal assessment for you to better understand yourself and exercises to help you expand your awareness in any part of your life.Digital Dharma masterfully helps readers to harness AI, not merely as a technological tool but as a partner in crafting a future where human potential solves the urgent problems facing the planet and each of us as individuals. Deepak Chopra invites us to transcend our limitations and explore a relationship with AI that elevates collective consciousness and personal evolution at the same time.

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Book SynopsisPresenting students with a comprehensive and efficient approach to the modelling, simulation, and analysis of dynamic systems, this textbook addresses mechanical, electrical, thermal and fluid systems, feedback control systems, and their combinations. It features a robust introduction to fundamental mathematical prerequisites, suitable for students from a range of backgrounds; clearly established three-key procedures fundamental principles, basic elements, and ways of analysis for students to build on in confidence as they explore new topics; over 300 end-of-chapter problems, with solutions available for instructors, to solidify a hands-on understanding; and clear and uncomplicated examples using MATLAB/Simulink and Mathematica, to introduce students to computational approaches. With a capstone chapter focused on the application of these techniques to real-world engineering problems, this is an ideal resource for a single-semester course in dynamic systems for students in mechanical, aerospace and civil engineering.Trade Review'A good teaching reference, particularly for new faculty in this area. Certainly, the book is also good for students as it contains lots of sample codes in MATLAB and Mathematica.' Jian-qiao Sun, University of California, Merced'An excellent fit for junior undergraduates in engineering to learn about mathematical modeling of several physical systems, and further solving the models to predict their behaviors. The relationship between inputs, system state, and outputs of a system are emphasized throughout the book. Additionally, the mathematical models are also represented using block diagrams that can then be simulated. The layout of the book strongly supports learning of fundamental principles and elements of modeling at the beginning, followed by their adaptation to both simple and complex real-world dynamic systems in other chapters.' Rajesh Ganesan, George Mason University'Adopting a holistic approach, this book addresses the modeling, simulation, and analysis of dynamic systems at the undergraduate level. It provides comprehensive coverage of fundamental concepts, with carefully selected applications from different fields of engineering. The exposition is methodical and the accompanying illustrations are extensive, a combination that makes the book remarkably easy and enjoyable to read.' Fai Ma, University of California, Berkeley'An excellent book on the dynamics of multi-domain systems. It is thorough and comprehensive, with a good balance of physical interpretation, mathematical formulation, practical applications, and numerical simulations.' Steve Shen, University of Washington'Provides an excellent introduction to the subject and equips students with in-depth understanding of the fundamental principles of modeling of dynamic systems. The book contains a broad range of examples, helping students to build a strong foundation in this subject. The sequence of chapters, beginning with basics and ending with real-world applications, is well planned.' Chi-An Tan, Wayne State UniversityTable of Contents1. Introduction; 2. Fundamentals of mathematics; 3. Mechanical systems; 4. Electrical systems; 5. Thermal and fluid systems; 6. Combined systems and system modeling techniques; 7. System response analysis; 8. Introduction to feedback control systems; 9. Application problems; Appendix A. Units; Appendix B. MATLAB/Simulink basics; Appendix C. Wolfram Mathematica basics; Index.

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book SynopsisComputational intelligence (CI) lies at the interface between engineering and computer science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing.

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Book SynopsisThis book shows some contributions presented in the 2010 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2010), Oct. 14-16, 2010, Shanghai, China. Welding handicraft is one of the most primordial and traditional techniques, mainly by manpower and human experiences. Weld quality and efficiency are, therefore, straightly limited by the welder’s skill. In the modern manufacturing, automatic and robotic welding is becoming an inevitable trend. In recent years, the intelligentized techniques for robotic welding have a great development. The current teaching play-back welding robot is not with real-time functions for sensing and adaptive control of weld process. Generally, the key technologies on Intelligentized welding robot and robotic welding process include computer visual and other information sensing, monitoring and real-time feedback control of weld penetration and pool shape and welding quality. Seam tracking is another key technology for welding robot system. Some applications on intelligentized robotic welding technology is also described in this book, it shows a great potential and promising prospect of artificial intelligent technologies in the welding manufacturing.Table of ContentsPart I: Intelligent Techniques for Robotic Welding.- Part II: Sensing of Arc Welding Processing.- Part III: Modeling and Intelligent Control of Welding Processing.- Part IV: Welding Technics and Automations.- Part V: Special Robot Technology and Systems.- Part VI: Intelligent Control and its Applications in Engineering.

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Book SynopsisApplied Mechatronics synthesizes the disciplines of Mechanical and Electrical Engineering to provide a comprehensive overview of the various technologies and tools used to develop mechatronic devices.Co-written by Mechanical Engineering and Electrical Engineering lecturers who co-teach this interdisciplinary course, this text highlights the information each discipline might have considered prerequisite so students can focus on material new to them. Designed for a first course in mechatronics, it contains numerous practical, classroom-tested examples, experiments, and simulations using SIMULINK, MATLAB, and LabVIEW, and presents material in a format that lends itself to collaborative, project-based learning.Table of ContentsAPPENDICES; A. DC POWER SUPPLY; B. PINOUT OF SELECTED ICS; C. INSTRUCTION SET, ADDRESSING MODES AND EXECUTION TIMES FOR THE MC9S12C; D. MC9S12C REGISTERS AND CONTROL BIT ASSIGNMENTS; E. USING THE CODEWARRIOR INTEGRATED DEVELOPMENT ENVIRONMENT (IDE); F. ASCII CODE TABLE; G. NUMBER SYSTEMS; H. MECHANISMS FOR MECHATRONICS

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Book SynopsisJACQUELINE WILKIE (Senior Lecturer), MICHAEL JOHNSON (Professor), and REZA KATEBI (Senior Lecturer) are academic staff at the Industrial Control Centre, at the Department of Electronic and Electrical Engineering, at the University of Strathclyde. They have many years experience, teaching control and measurement across all years of the Undergraduate programme, and have been dedicated to revitalising teaching practice in this subject.

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