Overview
- Broadens the reader’s understanding of a widely-used type of fuzzy control
- Explains control design for positive, saturating and 2-dimensional systems
- Treats practical effects of relevance to many chemical, physical and biological processes
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 8)
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Table of contents (9 chapters)
Keywords
About this book
This monograph puts the reader in touch with a decade’s worth of new developments in the field of fuzzy control specifically those of the popular Takagi-Sugeno (T-S) type. New techniques for stabilizing control analysis and design based on multiple Lyapunov functions and linear matrix inequalities (LMIs), are proposed. All the results are illustrated with numerical examples and figures and a rich bibliography is provided for further investigation.
Control saturations are taken into account within the fuzzy model. The concept of positive invariance is used to obtain sufficient asymptotic stability conditions for the fuzzy system with constrained control inside a subset of the state space.
The authors also consider the non-negativity of the states. This is of practical importance in many chemical, physical and biological processes that involve quantities that have intrinsically constant and non-negative sign: concentration of substances, level of liquids, etc. Results forlinear systems are then extended to linear systems with delay. It is shown that LMI techniques can usually handle the new constraint of non-negativity of the states when care is taken to use an adequate Lyapunov function. From these foundations, the following further problems are also treated:
· asymptotic stabilization of uncertain T-S fuzzy systems with time-varying delay, focusing on delay-dependent stabilization synthesis based on parallel distributed controller (PDC);
· asymptotic stabilization of uncertain T-S fuzzy systems with multiple delays, focusing on delay-dependent stabilization synthesis based on PDC with results obtained under linear programming;
· design of delay-independent, observer-based, H-infinity control for T–S fuzzy systems with time varying delay; and
· asymptotic stabilization of 2-D T–S fuzzy systems.
Advanced Takagi–Sugeno Fuzzy Systems provides researchers and graduate students interested in fuzzy control systems with further approaches based LMI and LP.
Reviews
“The monograph is of tangible value to all those who are interested in analysis and synthesis of control and stabilization algorithms realized for fuzzy rule-based models. The presentation of the material is clear, up-to-the point whereas the flow of the main ideas is coherent and logically organized. … All in all, the book could be a useful material to the readers engaged in the modem trends of control and fuzzy control, in particular.” (Witold Pedrycz, zbMATH 1323.93001, 2015)
Authors and Affiliations
Bibliographic Information
Book Title: Advanced Takagi‒Sugeno Fuzzy Systems
Book Subtitle: Delay and Saturation
Authors: Abdellah Benzaouia, Ahmed El Hajjaji
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-05639-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-05638-8Published: 01 July 2014
Softcover ISBN: 978-3-319-38155-8Published: 23 August 2016
eBook ISBN: 978-3-319-05639-5Published: 07 June 2014
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XXXII, 294
Number of Illustrations: 5 b/w illustrations, 66 illustrations in colour
Topics: Control and Systems Theory, Artificial Intelligence, Computational Intelligence