Magdi S. Mahmoud

Yuanqing Xia

Applied Control System Design examines several methods for building up systems models based on real experimental data from typical industrial processes and incorporating system identification techniques. The text takes a comparative approach to the models derived in this way judging their suitability for use in different systems and under different operational circumstances. A broad spectrum of control methods including various forms of filtering, feedback and feedforward control is applied to the models and the guidelines derived from the closed-loop responses are then composed into a concrete self-tested recipe to serve as a check-list for industrial engineers or control designers. System identification and control design are given equal weight in model derivation and testing to reflect their equality of importance in the proper design and optimization of high-performance control systems. Readers’ assimilation of the material discussed is assisted by the provision of problems and examples. Most of these exercises use MATLAB® to make computation and visualization more straightforward. Applied Control System Design will be of interest to academic researchers for its comparison of different systems models and their response to different control methods and will assist graduate students in learning the practical necessities of advanced control system design. The consistent reference to real systems coupled with self-learning tools will assist control practitioners who wish to keep up to date with the latest control design ideas.

Applied Control Systems Design

Di-Hua Zhai

Within a unified switched-control framework, this book investigates the high-performance control designs and theoretic analyses for teleoperation systems, including the joint space and task space teleoperations, the homogeneous and heterogeneous teleoperations, and the single-master single-slave and multi-master multi-slave teleoperations. The book begins with an introduction to the concepts and challenges of networked teleoperation systems. Then, it investigates a new adaptive control framework based on auxiliary switched filters for the bilateral teleoperation systems to handle the model uncertainty and non-passive external forces. To overcome the input constraints of robotic systems, this adaptive method is also extended to the anti-windup adaptive control case. Furthermore, to apply to multi-robot remote collaboration scenarios and heterogeneous teleoperations, two tele-coordination methods and an adaptive semi-autonomous control method are respectively developed. Finally, the authors examine two finite-time control schemes and two types of improved prescribed performance controls for teleoperation systems to improve the transient-state and steady-state synchronization performances. This title will be an essential reference for researchers and engineers interested in teleoperation, robotic systems, and nonlinear control systems. It would also prove useful to graduate students in the fields of science, engineering, and computer science.

High-Performance Adaptive Control of Teleoperation Systems

Ning Zhou

Jinhui Zhang

Kunfeng Lu

This book focuses on the finite-time control of attitude stabilization, attitude tracking for individual spacecraft, and finite-time control of attitude synchronization. It discusses formation reconfiguration for multiple spacecraft in complex networks, and provides a new fast nonsingular terminal sliding mode surface (FNTSMS). Further, it presents newly designed controllers and several control laws to enhance the performance of spacecraft systems and meet related demands, such as strong disturbance rejection and high-precision control. As such, the book establishes a fundamental framework for these topics, while also highlighting the importance of integrated analysis. It is a useful resource for all researchers and students who are interested in this field, as well as engineers whose work involves designing flight vehicles.

Finite Time and Cooperative Control of Flight Vehicles

Peng Shi

Mengyin Fu

Time-delay occurs in many dynamical systems such as biological systems, chemical systems, metallurgical processing systems, nuclear reactor, long transmission lines in pneumatic, hydraulic systems and electrical networks. Especially, in recent years, time-delay which exists in networked control s- temshasbroughtmorecomplexproblemintoanewresearcharea.Frequently, itisasourceofthegenerationofoscillation,instabilityandpoorperformance. Considerable e?ort has been applied to di?erent aspects of linear time-delay systems during recent years. Because the introduction of the delay factor renders the system analysis more complicated, in addition to the di?culties caused by the perturbation or uncertainties, in the control of time-delay s- tems, the problems of robust stability and robust stabilization are of great importance. This book presents some basic theories of stability and stabilization of systems with time-delay, which are related to the main results in this book. More attention will be paid on synthesis of systems with time-delay. That is, sliding mode control of systems with time-delay; networked control systems with time-delay; networked data fusion with random delay.

Analysis and Synthesis of Dynamical Systems with Time-Delays

Zhijun Li

Chun-Yi Su

This book describes a unified framework for networked teleoperation systems involving multiple research fields: networked control systems for linear and nonlinear forms, bilateral teleoperation, trilateral teleoperation, multilateral teleoperation and cooperative teleoperation. It closely examines networked control as a field at the intersection of systems & control and robotics and presents a number of experimental case studies on testbeds for robotic systems, including networked haptic devices, robotic network systems and sensor network systems. The concepts and results outlined are easy to understand, even for readers fairly new to the subject. As such, the book offers a valuable reference work for researchers and engineers in the fields of systems & control and robotics.

Intelligent Networked Teleoperation Control

Networked Control Systems: Cloud Control and Secure Control explores new technological developments in networked control systems (NCS), including new techniques, such as event-triggered, secure and cloud control. It provides the fundamentals and underlying issues of networked control systems under normal operating environments and under cyberphysical attack. The book includes a critical examination of the principles of cloud computing, cloud control systems design, the available techniques of secure control design to NCS’s under cyberphysical attack, along with strategies for resilient and secure control of cyberphysical systems. Smart grid infrastructures are also discussed, providing diagnosis methods to analyze and counteract impacts. Finally, a series of practical case studies are provided to cover a range of NCS’s. This book is an essential resource for professionals and graduate students working in the fields of networked control systems, signal processing and distributed estimation. Provides coverage of cloud-based approaches to control systems and secure control methodologies to protect cyberphysical systems against various types of malicious attacks Provides an overview of control research literature and explores future developments and solutions Includes case studies that offer solutions for issues with modeling, quantization, packet dropout, time delay and communication constraints

Cloud Control and Secure Control

Networked Control Systems

Mojeed O. Oyedeji

Advanced Distributed Consensus for Multiagent Systems contributes to the further development of advanced distributed consensus methods for different classes of multiagent methods. The book expands the field of coordinated multiagent dynamic systems, including discussions on swarms, multi-vehicle and swarm robotics. In addition, it addresses advanced distributed methods for the important topic of multiagent systems, with a goal of providing a high-level treatment of consensus to different versions while preserving systematic analysis of the material and providing an accounting to math development in a unified way. This book is suitable for graduate courses in electrical, mechanical and computer science departments. Consensus control in multiagent systems is becoming increasingly popular among researchers due to its applicability in analyzing and designing coordination behaviors among agents in multiagent frameworks. Multiagent systems have been a fascinating subject amongst researchers as their practical applications span multiple fields ranging from robotics, control theory, systems biology, evolutionary biology, power systems, social and political systems to mention a few. Gathers together the theoretical preliminaries and fundamental issues related to multiagent systems and controls Provides coherent results on adopting a multiagent framework for critically examining problems in smart microgrid systems Presents advanced analysis of multiagent systems under cyberphysical attacks and develops resilient control strategies to guarantee safe operation

Advanced Distributed Consensus for Multiagent Systems

Zhongqi Sun

Duanduan Chen

The insertion of communication networks in feedback control loops complicates analysis and synthesis of cyber-physical systems (CPSs), and network-induced uncertainties may degrade system control performance. Thus, this book researches networked delay compensation and event-triggered control approaches for a series of CPSs subject to network-induced uncertainties. The authors begin with an introduction to the concepts and challenges of CPSs, followed by an overview of networked control approaches and event-triggered control strategies in CPSs. Then, networked delay compensation and event-triggered control approaches are proposed for CPSs with network communication delay, data dropout, signal quantization, and event-triggered communication. More specifically, networked delay compensation approaches are proposed for linear/nonlinear networked controlled plants with time-varying and random network communication delays and data dropouts. To reduce computational burden and network communication loads in CPSs, event-triggered control, self-triggered control, co-design of event-triggered control and quantized control techniques, and event-triggered disturbance rejection control approaches are also presented. This book is an essential text for researchers and engineers interested in cybersecurity, networked control, and CPSs. It would also prove useful for graduate students in the fields of science, engineering, and computer science.

Networked and Event-Triggered Control Approaches in Cyber-Physical Systems

Lu Jiang

Liping Yan

This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc.

Multisensor Fusion Estimation Theory and Application

In recent years, control systems have become more sophisticatedin order to meet increased performance and safety requirements formodern technological systems. Engineers are becoming more awarethat conventional feedback control design for a complex system mayresult in unsatisfactory performance, or even instability, in theevent of malfunctions in actuators, sensors or other systemcomponents. In order to circumvent such weaknesses, new approachesto control system design have emerged which can tolerate componentmalfunctions while maintaining acceptable stability andperformance. These types of control systems are often known asfault-tolerant control systems (FTCS). More precisely, FTCS arecontrol systems which possess the ability to accommodate componentfailure automatically. Analysis and Synthesis of Fault-Tolerant Control Systemscomprehensively covers the analysis and synthesis methods of faulttolerant control systems. It unifies the methods for developingcontrollers and filters for a wide class of dynamical systems andreports on the recent technical advances in design methodologies.MATLAB® is used throughout the book, to demonstrate methods ofanalysis and design. Key features: • Provides advanced theoretical methods and typicalpractical applications • Provides access to a spectrum of control design methodsapplied to industrial systems • Includes case studies and illustrative examples • Contains end-of-chapter problems Analysis and Synthesis of Fault-Tolerant Control Systemsis a comprehensive reference for researchers and practitionersworking in this area, and is also a valuable source of informationfor graduates and senior undergraduates in control, mechanical,aerospace, electrical and mechatronics engineering departments.

Yuanqing Xia

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