Universal Fuzzy Controllers for Non-affine Nonlinear Systems

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 co...

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Bibliographic Details
Main Author: Gao, Qing (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2017.
Imprint: Springer,
Edition:1st ed. 2017.
Series:Springer Theses, Recognizing Outstanding Ph.D. Research,
Subjects:
Control engineering.
Computational intelligence.
System theory.
Control theory.
Mathematical models.
Control and Systems Theory.
Computational Intelligence.
Systems Theory, Control.
Mathematical Modeling and Industrial Mathematics.
Online Access:Full-text access
Description
Summary: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.
Physical Description:XVII, 142 p. 21 illus. in color. online resource.
ISBN:9789811019746
ISSN:2190-5061
DOI:10.1007/978-981-10-1974-6

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