Guaranteed cost control of T-S fuzzy systems using piecewise Lyapunov function based switching fuzzy controller

Ying Jen Chen, Hiroshi Ohtake, Wen June Wang, Kazuo Tanaka, Hua O. Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this study, the guaranteed cost control of continuous T-S fuzzy systems using piecewise Lyapunov function based switching fuzzy controller is presented. In our previous paper, the switching fuzzy controller, which switches depending on the piecewise Lyapunov function, was proposed. Based on the piecewise Lyapunov function and the switching fuzzy controller, more relaxed guaranteed cost control conditions are obtained. The relaxed conditions are bilinear with the s-procedure parameters. In this paper, the particle swarm optimization (PSO) algorithm, which is useful for the nonlinear optimization problem, is utilized to get the optimal control performance. A design example is provided to illustrate the validity of the design approach.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Control Applications, CCA '09
Pages440-445
Number of pages6
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Control Applications, CCA '09 - Saint Petersburg, Russian Federation
Duration: 8 Jul 200910 Jul 2009

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Conference

Conference2009 IEEE International Conference on Control Applications, CCA '09
Country/TerritoryRussian Federation
CitySaint Petersburg
Period8/07/0910/07/09

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