Fault-Tolerant Control for Time-Varying Delayed T-S Fuzzy Systems - Sun, Shaoxin;Zhang, Huaguang;Su, Xiaojie
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This book delves into the complexities of fault estimation and fault-tolerant control for nonlinear time-delayed systems. Through the use of multiple-integral observers, it addresses fault estimation and active fault-tolerant control for time-delayed fuzzy systems with actuator faults and both actuator and sensor faults. Additionally, the book explores the use of sliding mode control to solve issues of sensor fault estimation, intermittent actuator fault estimation, and active fault-tolerant control for time-delayed switched fuzzy systems. Furthermore, it presents the use of H guaranteed cost…mehr

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Produktbeschreibung
This book delves into the complexities of fault estimation and fault-tolerant control for nonlinear time-delayed systems. Through the use of multiple-integral observers, it addresses fault estimation and active fault-tolerant control for time-delayed fuzzy systems with actuator faults and both actuator and sensor faults. Additionally, the book explores the use of sliding mode control to solve issues of sensor fault estimation, intermittent actuator fault estimation, and active fault-tolerant control for time-delayed switched fuzzy systems. Furthermore, it presents the use of H guaranteed cost control for both time-delayed switched fuzzy systems and time-delayed switched fuzzy stochastic systems with intermittent actuator and sensor faults. Finally, the problem of delay-dependent finite-time fault-tolerant control for uncertain switched T-S fuzzy systems with multiple time-varying delays, intermittent process faults and intermittent sensor faults is studied. The research on faultestimation and tolerant control has drawn attention from engineers and scientists in various fields such as electrical, mechanical, aerospace, chemical, and nuclear engineering. The book provides a comprehensive framework for this topic, placing a strong emphasis on the importance of stability analysis and the impact of result conservatism on the design and implementation of observers and controllers. It is intended for undergraduate and graduate students interested in fault diagnosis and tolerant control technology, researchers studying time-varying delayed T-S fuzzy systems, and observer/controller design engineers working on system stability applications.
Autorenporträt
Shaoxin Sun received her B.S. in control technology and instrumentation from Hebei University, Baoding, China, in 2014, her M.S. in control theory and control engineering from Northeastern University, Shenyang, China, in 2016, and her Ph.D. in control theory and control engineering from Northeastern University, Shenyang, China, in 2021. She currently serves as an assistant research fellow in the College of Automation at Chongqing University, Chongqing, China, where her research interests include fuzzy systems, stochastic/random systems, time-delay systems, fault estimation and fault-tolerant control. Huaguang Zhang (M'03-SM'04-F'14) received his B.S. and M.S. in control engineering from the Northeast Dianli University of China, Jilin City, China, in 1982 and 1985, respectively, and his Ph.D. in thermal power engineering and automation from Southeast University, Nanjing, China, in 1991. He is a prolific author and inventor, having authored and co-authored over 280 journal and conference papers, six monographs, and co-invented 90 patents. His current research interests include fuzzy control, stochastic system control, neural networks-based control, nonlinear control, and their applications. Dr. Zhang has received numerous awards and honors, including the Outstanding Youth Science Foundation Award from the National Natural Science Foundation Committee of China in 2003, the IEEE Transactions on Neural Networks 2012 Outstanding Paper Award, and the Cheung Kong Scholar award from the Education Ministry of China in 2005. He currently serves as an associate editor for several journals, including Automatica, the IEEE Transactions on Neural Networks, the IEEE Transactions on Cybernetics, and Neurocomputing. He was an associate editor for the IEEE Transactions on Fuzzy Systems from 2008 to 2013 and currently serves as the E-letter chair of the IEEE CIS Society and the former chair of the Adaptive Dynamic Programming and Reinforcement Learning Technical Committee on IEEE Computational Intelligence Society.   Xiaojie Su received his Ph.D. in Control Theory and Control Engineering from Harbin Institute of Technology, China, in 2013. He currently serves as a professor and dean for the College of Automation at Chongqing University, Chongqing, China. His research interests include intelligent control systems, advanced control and system analysis, and the application of intelligent robot control. He has published three research monographs and over 80 research papers in international referred journals. Prof. Su is the founding chair of the IEEE Beijing Section, Systems, Man, and Cybernetics and Robotics and Automation Joint Societies Chapter (CH10994). He also serves as a steering committee member of IEEE Transactions on Big Data, 2022-2023 and as an associate editor for several journals, including IEEE Transactions on Artificial Intelligence, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Systems Journal, and Information Sciences. He is also an associate editor for the Conference Editorial Board, IEEE Control Systems Society, and was named to the 2017-2021 Highly Cited Researchers list by Clarivate Analytics. Jinyu Zhu received his B.S. in automation from Yuxi Normal University, Yuxi, China, in 2020. He is currently pursuing his Ph.D. in control science and engineering from Chongqing University, Chongqing, China. His current research interests include multi-agent path planning, multi-agent mapping, and unmanned vehicle motion control.