• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
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Volume 29 Issue 3
Mar.  2019
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Article Contents
Journal of Southwest Jiaotong University  > 2016  >  29(3): 462-474.
XIAO Jian, ZHAO Tao. Overview and Prospect of T-S Fuzzy Control[J]. Journal of Southwest Jiaotong University, 2016, 29(3): 462-474. doi: 10.3969/j.issn.0258-2724.2016.03.006
Citation: XIAO Jian, ZHAO Tao. Overview and Prospect of T-S Fuzzy Control[J]. Journal of Southwest Jiaotong University, 2016, 29(3): 462-474. doi: 10.3969/j.issn.0258-2724.2016.03.006
shu

Overview and Prospect of T-S Fuzzy Control

doi: 10.3969/j.issn.0258-2724.2016.03.006
  • Received Date: 15 Oct 2015
  • Publish Date: 25 Apr 2016
    Abstract
  • T-S fuzzy control can deal with complicated nonlinear systems, and has been successfully applied to a lot of industrial fields. From the aspects of modeling, stability analysis, and controller design, the current research status of the type-1 T-S fuzzy control and the interval type-2 T-S fuzzy control are reviewed, with an overall elaboration on the conservativeness issue in analysis and design of type-1 T-S fuzzy systems, type-1 T-S fuzzy polynomial systems, and interval type-2 T-S fuzzy systems. A discussion is also made on the principles of the slack variable approach, the parameter dependent Lyapunov function approach and the membership-function-shape-dependent approach, as well as their applications to reduce conservativeness of the fuzzy feedback controller. In addition, from the aspects of modeling of type-1 T-S fuzzy systems and the parameter dependent Lyapunov function design approach of interval type-2 T-S fuzzy systems, prospects on the T-S fuzzy control are described. The further research directions may include the output feedback control of type-1 T-S fuzzy polynomial systems, the interval type-2 T-S fuzzy systems with time-delays, the robust control and model reduction of interval type-2 T-S fuzzy systems, and the hardware implementation and engineering applications of the proposed approaches.

     

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