Overview
- Studies the control and filtering problems for Takagi-Sugeno fuzzy systems with switched parameters
- Presents a detailed investigation of mode-independent, mode-dependent, and asynchronous controller/filter design problems
- Offers solutions to controller and filter gains, which are presented in terms of linear matrix inequalities
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 268)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
There are three general types of controller/filter for fuzzy Markov jump systems: mode-independent, mode-dependent and asynchronous. Mode-independence does not focus on whether modes are accessible and ignores partially useful modeinformation, which results in some conservatism. The mode-dependent design approach relies on timely, complete and correct information regarding the mode of the studied plant. Factors like component failures and data dropouts often make it difficult to obtain exact mode messages, which further make the mode-dependent controllers/filters less useful. Recently, to overcome these issues, researchers have focused on asynchronous techniques. Asynchronous modes are accessed by observing the original systems based on certain probabilities. The book investigates the problems associated with controller/filter design for all three types.
It also considers various networked constraints, such as data dropouts and time delays, and analyzes the performances of the systems based on Lyapunov function and matrix inequality techniques, including the stochastic stability, dissipativity, and $H_\infty$. The book not only shows how these approaches solve the control and filtering problems effectively, but also offers potential meaningful research directions and ideas.
Covering a variety of fields, including continuous-time and discrete-time Markov processes, fuzzy systems, robust control, and filter design problems, the book is primarily intended for researchers in system and control theory, and is also a valuable reference resource for graduate and undergraduate students. Further, it provides cases of fuzzy control problems that are of interest to scientists, engineers and researchers in the field of intelligent control. Lastly it is useful for advanced courses focusing on fuzzy modeling, analysis, and control.
Reviews
“Each chapter comes with a list of pertinent timely references offering also some broader historical insights. The visible feature of the book is a well-organized formal treatment of the subject matter. … the book is a timely treatise of fuzzy models with switched parameters offering a useful contribution to the body of knowledge on advanced control.” (Witold Pedrycz, zbMATH 1452.93001, 2021)
Authors and Affiliations
Bibliographic Information
Book Title: Control and Filtering of Fuzzy Systems with Switched Parameters
Authors: Shanling Dong, Zheng-Guang Wu, Peng Shi
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-35566-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-35565-4Published: 10 December 2019
Softcover ISBN: 978-3-030-35568-5Published: 10 December 2020
eBook ISBN: 978-3-030-35566-1Published: 25 November 2019
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XV, 212
Number of Illustrations: 10 b/w illustrations, 31 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence, Systems Theory, Control