Universal Fuzzy Controllers for Non-affine Nonlinear Systems

  • Qing Gao

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Qing Gao
    Pages 1-15
  3. Universal Fuzzy Stabilization Controllers

  4. Universal Fuzzy Integral Sliding-Mode Controllers

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.


T-S Fuzzy Models Non-affine Nonlinear Systems Universal Fuzzy Controllers Universal Fuzzy Model Sliding Mode Control Stochastic Systems Stochastic Fuzzy Logic

Authors and affiliations

  • Qing Gao
    • 1
  1. 1.City University of Hong Kong Hong KongChina

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media Singapore 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-981-10-1973-9
  • Online ISBN 978-981-10-1974-6
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site