Yuanqing Xia – författare

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.

Cloud Control Systems: Analysis, Design and Estimation introduces readers to the basic definitions and various new developments in the growing field of cloud control systems (CCS). The book begins with an overview of cloud control systems (CCS) fundamentals, which will help beginners to better understand the depth and scope of the field. It then discusses current techniques and developments in CCS, including event-triggered cloud control, predictive cloud control, fault-tolerant and diagnosis cloud control, cloud estimation methods, and secure control/estimation under cyberattacks.

This book benefits all researchers including professors, postgraduate students and engineers who are interested in modern control theory, robust control, multi-agents control.

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.

Discrete Networked Dynamic Systems: Analysis and Performance provides a high-level treatment of a general class of linear discrete-time dynamic systems interconnected over an information network, exchanging relative state measurements or output measurements. It presents a systematic analysis of the material and provides an account to the math development in a unified way.

The topics in this book are structured along four dimensions: Agent, Environment, Interaction, and Organization, while keeping global (system-centered) and local (agent-centered) viewpoints.

The focus is on the wide-sense consensus problem in discrete networked dynamic systems. The authors rely heavily on algebraic graph theory and topology to derive their results. It is known that graphs play an important role in the analysis of interactions between multiagent/distributed systems. Graph-theoretic analysis provides insight into how topological interactions play a role in achieving coordination among agents. Numerous types of graphs exist in the literature, depending on the edge set of G. A simple graph has no self-loop or edges. Complete graphs are simple graphs with an edge connecting any pair of vertices. The vertex set in a bipartite graph can be partitioned into disjoint non-empty vertex sets, whereby there is an edge connecting every vertex in one set to every vertex in the other set. Random graphs have fixed vertex sets, but the edge set exhibits stochastic behavior modeled by probability functions. Much of the studies in coordination control are based on deterministic/fixed graphs, switching graphs, and random graphs.

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.

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.

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.

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.

This vital work for researchers and graduate students focuses on resilience estimation and control of cyber-physical networked systems using attacker-defender game theory. It presents attack and defense strategies and describes the design and resilience of control systems to withstand cyberattacks.

Complex control systems, including cyber-physical and cloud control systems, are in open network environments and are often confronted with threats from cyberspace, physical space and even cloud service. With diversified and intelligent attack patterns and improvements in attack capabilities, non-contact damage can be widespread. In this book, the authors use a formal, mathematical approach to introduce their recent research findings to describe and design attack and defense strategies using game theoretic method. The book is divided into three sections, focusing on strategies for resilience against deception attacks and DoS attacks, and protecting cloud control systems against threats. In these sections, the authors address topics such as secure and distributed filtering, attack detection and disturbance rejection, resilient state estimation, and resilient control, and techniques such as Stackelberg games, hierarchical games, and active eavesdropping. Through this book readers will be able to design effective defense strategies for complex control system to achieve resilience for closed-control cyber physical systems, network and cloud systems.

This book is a vital resource for graduate students and academic researchers who are familiar with the concepts related to cyberattack and defense and who have a related research background. To maximize their benefit from this book, readers are recommended to have a strong mathematical foundation as the book takes a mathematical approach to the concepts and strategies described within.

This vital work for researchers and graduate students focuses on resilience estimation and control of cyber-physical networked systems using attacker-defender game theory. It presents attack and defense strategies and describes the design and resilience of control systems to withstand cyberattacks.

Complex control systems, including cyber-physical and cloud control systems, are in open network environments and are often confronted with threats from cyberspace, physical space and even cloud service. With diversified and intelligent attack patterns and improvements in attack capabilities, non-contact damage can be widespread. In this book, the authors use a formal, mathematical approach to introduce their recent research findings to describe and design attack and defense strategies using game theoretic method. The book is divided into three sections, focusing on strategies for resilience against deception attacks and DoS attacks, and protecting cloud control systems against threats. In these sections, the authors address topics such as secure and distributed filtering, attack detection and disturbance rejection, resilient state estimation, and resilient control, and techniques such as Stackelberg games, hierarchical games, and active eavesdropping. Through this book readers will be able to design effective defense strategies for complex control system to achieve resilience for closed-control cyber physical systems, network and cloud systems.

This book is a vital resource for graduate students and academic researchers who are familiar with the concepts related to cyberattack and defense and who have a related research background. To maximize their benefit from this book, readers are recommended to have a strong mathematical foundation as the book takes a mathematical approach to the concepts and strategies described within.

In recent years, control systems have become more sophisticated in order to meet increased performance and safety requirements for modern technological systems. Engineers are becoming more aware that conventional feedback control design for a complex system may result in unsatisfactory performance, or even instability, in the event of malfunctions in actuators, sensors or other system components. In order to circumvent such weaknesses, new approaches to control system design have emerged which can tolerate component malfunctions while maintaining acceptable stability and performance. These types of control systems are often known as fault-tolerant control systems (FTCS). More precisely, FTCS are control systems which possess the ability to accommodate component failure automatically.

Analysis and Synthesis of Fault-Tolerant Control Systems comprehensively covers the analysis and synthesis methods of fault tolerant control systems. It unifies the methods for developing controllers and filters for a wide class of dynamical systems and reports on the recent technical advances in design methodologies. MATLAB® is used throughout the book, to demonstrate methods of analysis and design.

Key features:

• Provides advanced theoretical methods and typical practical applications • Provides access to a spectrum of control design methods applied to industrial systems • Includes case studies and illustrative examples • Contains end-of-chapter problems

Analysis and Synthesis of Fault-Tolerant Control Systems is a comprehensive reference for researchers and practitioners working in this area, and is also a valuable source of information for graduates and senior undergraduates in control, mechanical, aerospace, electrical and mechatronics engineering departments.

In recent years, control systems have become more sophisticated in order to meet increased performance and safety requirements for modern technological systems. Engineers are becoming more aware that conventional feedback control design for a complex system may result in unsatisfactory performance, or even instability, in the event of malfunctions in actuators, sensors or other system components. In order to circumvent such weaknesses, new approaches to control system design have emerged which can tolerate component malfunctions while maintaining acceptable stability and performance. These types of control systems are often known as fault-tolerant control systems (FTCS). More precisely, FTCS are control systems which possess the ability to accommodate component failure automatically.

Analysis and Synthesis of Fault-Tolerant Control Systems comprehensively covers the analysis and synthesis methods of fault tolerant control systems. It unifies the methods for developing controllers and filters for a wide class of dynamical systems and reports on the recent technical advances in design methodologies. MATLAB® is used throughout the book, to demonstrate methods of analysis and design.

Key features:

• Provides advanced theoretical methods and typical practical applications • Provides access to a spectrum of control design methods applied to industrial systems • Includes case studies and illustrative examples • Contains end-of-chapter problems

Analysis and Synthesis of Fault-Tolerant Control Systems is a comprehensive reference for researchers and practitioners working in this area, and is also a valuable source of information for graduates and senior undergraduates in control, mechanical, aerospace, electrical and mechatronics engineering departments.