Stabilization for large-scale fuzzy systems by decentralized fuzzy control

Wei Wei Lin, Wen June Wang, Shu Han Yang, Ying Jen Chen

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

4 Scopus citations

Abstract

The purpose of this paper deals with the decentralized stabilization problem for a large-scale system in which the system is composed of several T-S fuzzy subsystems with nonlinear interconnections. The decentralized parallel distributed compensation (PDC) fuzzy control in each subsystem is designed to stabilize the whole system. Based on Lyapunov criteria, the stabilization theorem is proposed. Moreover, in the theorem, the positive definite matrices Pi and PDC gain Kli can be obtained by linear matrix inequalities (LMI) toolbox of Matlab. Finally, we give a numerical example to illustrate the control design and effectiveness.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Fuzzy Systems
Pages795-799
Number of pages5
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Fuzzy Systems - Vancouver, BC, Canada
Duration: 16 Jul 200621 Jul 2006

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Conference

Conference2006 IEEE International Conference on Fuzzy Systems
Country/TerritoryCanada
CityVancouver, BC
Period16/07/0621/07/06

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