Anti-disturbance Intrusion- and Fault-Tolerant Control of Multi-agent Systems
Description
This book focuses on anti-disturbance intrusion- and fault-tolerant consensus control for MASs. The main feature of this book is the successful introduction of event-triggered distributed adaptive feedback control methodology, observer technology, and sliding mode technology to solve the problem of anti-disturbance, intrusion-tolerant, and fault-tolerant control of MAS. Meanwhile, pinning control strategies are proposed to realize the cluster consensus control of MAS. In addition, based on the Nussbaum function, the fault-tolerant control problems of different types of MASs subjected to time-varying unknown nonidentical direction (TVUND) faults are investigated. This book provides a coherent approach and contains valuable reference materials for researchers who wish to explore the area of MAS. Researchers, graduate students, and engineers in the fields of electrical engineering, control engineering, applied mathematics, computer science, and others will benefit from this book.
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Xiang-Gui Guo received the B.S. degree in electrical engineering and automation from the College of Electrical Engineering, Northwest University for Nationalities, Lanzhou, China, in 2005, the M.S. degree in control theory and engineering from the College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China, in 2008, and the Ph.D. degree in control science and engineering from Northeastern University, Shenyang, China, in 2012. From 2014 to 2016, he was Postdoctoral Fellow with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore. From July to August 2018, he was Visiting Scholar with the Department of Mechanical Engineering, University of Victoria, Victoria, BC, Canada. Since 2019, he has been Professor with the School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China. His research interest includes multi-agent systems, fuzzy systems, vehicular platoon control, and fault-tolerant Control.
Pei-Ming Liu received the B.S. degree in electrical engineering and automation from the College of Engineering, Shanxi Agricultural University, Taigu, China, in 2018. He is currently working toward the Ph.D. degree in instruments science and technology with the School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China. His research interests include intrusion-tolerant and fault-tolerant control for multi-agent systems.
Dong-Yu Zhang received the B.S. degree in measurement and control technology and instrument from North University of China, Taiyuan, China, in 2019, and the M.S. degree in control science and engineering from University of Science and Technology Beijing, Beijing, China, in 2022. He is currently pursuing the Ph.D. degree in control science and engineering with Northeastern University, Shenyang, China. His research interests include multi-agent systems, anti-disturbance control, and security of cyber-physical systems.
Jian-Liang Wang received the B.E. degree in electrical engineering from the Beijing Institute of Technology, Beijing, China, in 1982, and the M.S.E. and Ph.D. degrees in electrical engineering from the Johns Hopkins University, Baltimore, MD, USA, in 1985 and 1988, respectively. From 1988 to 1990, he was Lecturer with Beihang University, Beijing, China. From 1990 to 2019, he was Tenured Associate Professor with the Nanyang Technological University, Singapore. Since 2020, he has been Senior Researcher/Professor with the Hangzhou Innovation Institute of Beihang University, China. His current research interests include multi-agent systems, UAVs and UAMs, collaborative control, vehicular platoon systems, and fault-tolerant control.
Lei Guo received the Ph.D. degree in control engineering from Southeast University, Nanjing, China, in 1997. He is currently Professor of the School of Automation Science and Electronic Engineering, Beihang University. He is Academician of the Chinese Academy of Sciences (CAS), Fellow of IEEE and IET, and Member of the Chinese Association of Automation and the China Association of Inventions. He serves as Director of the Navigation, Guidance, and Control Professional Committee of the Chinese Association of Automation. He is actively involved in the research of anti-disturbance control theory and its applications. He has developed advanced theoretical approaches, such as refined anti-disturbance control methods for complex systems with multi-source heterogeneous disturbances. He has published more than 420papers and six monographs and served as Editor for several international journals. He has received a number of awards.
Content
Introduction.- Preliminaries.- Observer-Based Adaptive Anti-disturbance Control of MASs by State Feedback.- Anti-Disturbance Control of MASs Under DoS attacks by Output Feedback.- H8Anti-Disturbance Control and Fault Detection of MASs under FDIAs.- Anti-Disturbance Control of MASs Under Multiple Disturbances and FDIAs.- Fault-Tolerant Sliding-Mode Control for MASs with ANASs and IQCs.- Fault-Tolerant Cluster Consensus of MASs with Actuator Fault and IQCs.- Intrusion-Tolerant Cluster Consensus of MASs Under Periodic DoS Attack.- Fault-Tolerant Cluster Consensus of MASs Under Aperiodic DoS Attacks.- Intrusion- and Fault-Tolerant Cluster Consensus of MASs with TVNUD Faults.- Intrusion- and Fault-Tolerant Cluster Consensus of MASs with Multiple Attacks.- Concluding Remarks.