Decentralized guaranteed cost control synthesis in fuzzy interconnected systems

Wei Wei Lin, Shu Han Yang, Wen June Wang

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

Abstract

This paper studies the problem of guaranteed cost control for a nonlinear interconnected system which is composed by a number of Takagi-Sugeno (T-S) fuzzy subsystems with interconnections. A linear quadratic cost function is considered as the performance index of the closed-loop fuzzy interconnected system. Then, the decentralized guaranteed cost fuzzy control for each rule of the subsystem is synthesized by parallel distributed compensation (PDC). Based on the Lyapunov criterion and linear matrix inequalities (LMIs) method, some sufficient conditions are derived to obtain the local state feedback gain of the PDC control such that the whole closed-loop fuzzy interconnected system is not only asymptotically stable but also cost guaranteed. Finally, we give a practical example to illustrate the effectiveness of the proposed criterion.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Pages3096-3100
Number of pages5
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada
Duration: 7 Oct 200710 Oct 2007

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Country/TerritoryCanada
CityMontreal, QC
Period7/10/0710/10/07

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