Dissipativity Analysis and Synthesis for Discrete-Time T-S Fuzzy Stochastic SystemsWith Time-Varying Delay

This paper is concerned with the problems of dissipativity analysis and synthesis for discrete-time Takagi-Sugeno fuzzy systems with stochastic perturbation and time-varying delay. First, a novel model transformation method is introduced to pull the time-varying delay uncertainty out of the original...

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Bibliographic Details
Published inIEEE transactions on fuzzy systems Vol. 22; no. 2; pp. 380 - 394
Main Authors Wu, Ligang, Yang, Xiaozhan, Lam, Hak-Keung
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:This paper is concerned with the problems of dissipativity analysis and synthesis for discrete-time Takagi-Sugeno fuzzy systems with stochastic perturbation and time-varying delay. First, a novel model transformation method is introduced to pull the time-varying delay uncertainty out of the original system. Consequently, the transformed model is composed of a linear time-invariant system and a norm-bounded uncertain subsystem. By using this model transformation method combined with the Lyapunov-Krasovskii technique, sufficient conditions of the dissipativity are established. Then, a fuzzy controller is designed to guarantee the dissipative performance of the closed-loop system. Finally, three examples are presented: one shows the effectiveness of model transformation method, the second performs the comparison with alternative approaches, and the third illustrates the applicability of the proposed dissipative control methods.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2013.2256913