Overview
- Nominated as an outstanding Ph.D. thesis by both the Chinese Academy of Sciences and the City University of Hong Kong
- Provides the first systematic and integral answer to the universal fuzzy controller problem
- Offers a self-contained, valuable reference guide for engineers with various research interests
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (7 chapters)
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Front Matter
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Universal Fuzzy Stabilization Controllers
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Front Matter
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Universal Fuzzy Integral Sliding-Mode Controllers
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Front Matter
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Keywords
About this book
This thesis provides a systematic and integral answer to an open problem concerning the universality of dynamic fuzzy controllers. It presents a number of novel ideas and approaches to various issues including universal function approximation, universal fuzzy models, universal fuzzy stabilization controllers, and universal fuzzy integral sliding mode controllers. The proposed control design criteria can be conveniently verified using the MATLAB toolbox. Moreover, the thesis provides a new, easy-to-use form of fuzzy variable structure control. Emphasis is given to the point that, in the context of deterministic/stochastic systems in general, the authors are in fact discussing non-affine nonlinear systems using a class of generalized T-S fuzzy models, which offer considerable potential in a wide range of applications.
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Bibliographic Information
Book Title: Universal Fuzzy Controllers for Non-affine Nonlinear Systems
Authors: Qing Gao
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-981-10-1974-6
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media Singapore 2017
Hardcover ISBN: 978-981-10-1973-9Published: 30 July 2016
Softcover ISBN: 978-981-10-9492-7Published: 30 May 2018
eBook ISBN: 978-981-10-1974-6Published: 19 July 2016
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XVII, 142
Number of Illustrations: 21 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence, Systems Theory, Control, Mathematical Modeling and Industrial Mathematics