
Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems
Springer (Publisher)
Published on 19. August 2022
Book
Paperback/Softback
XXI, 313 pages
978-3-030-81216-4 (ISBN)
Description
This book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model-based systems. A series of problems are solved with new approaches of design, analysis and synthesis of fuzzy systems, including stabilization control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary linearization method, are utilized in the approaches. This book is a comprehensive reference for researchers and practitioners working on intelligent control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts and methodologies with theoretical and practical significance in system analysis and control synthesis.
Reviews / Votes
"From the mathematical point of view it is worth mentioning that almost all results are presented as Theorems, followed by proofs and illustrative application examples. This aspect emphasizes the pedagogical aspects and qualities of the book. Specialists interested in fuzzy control as a possible option for 'intelligent control' will find in this book a genuine handbook with illustrations. Especially to them . the book is warmly recommended." (Vladimir Rasvan, zbMATH 1480.93005, 2022)More details
Series
Edition
2022 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
73 s/w Abbildungen, 8 farbige Abbildungen
XXI, 313 p. 81 illus., 8 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
511 gr
ISBN-13
978-3-030-81216-4 (9783030812164)
DOI
10.1007/978-3-030-81214-0
Schweitzer Classification
Other editions
Additional editions

Xiaojie Su | Yao Wen | Yue Yang
Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems
Book
08/2021
Springer
€106.99
Shipment within 7-9 days
Persons
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.
Content
Introduction.- Stabilization Synthesis of T-S Fuzzy Delayed Systems.- Output Feedback Control of Fuzzy Stochastic Systems.- Output Feedback Control of Fuzzy Switching Systems.- Dissipative Filtering of Fuzzy Switched Systems.- Fault Detection for Switched Stochastic Systems.- Reliable Filtering for T-S Fuzzy Time-Delay Systems.- Reduced-Order Model Approximation of Switched Systems.- Model Reduction of Time-Varying Delay Fuzzy Systems.- Model Approximation of Fuzzy Switched Systems.- Reduced-Order Filter Design of Fuzzy Stochastic Systems.- Dissipative Event-Triggered Fuzzy Control of Truck-Trailer Systems.- Event-Triggered Fuzzy Control of Inverted Pendulum Systems.- Conclusion and Further Work.