A novel stabilization criterion for discrete time fuzzy systems

Ying Jen Chen, Wen June Wang

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

Abstract

In this paper, a relaxed stabilization criterion for T-S fuzzy systems is proposed. First, the operation state space is divided into several subregions and then the T-S fuzzy system is transformed to an equivalent switching fuzzy system corresponding to each subregion. Based on the switching fuzzy system we can represent the interactions among the fuzzy subsystems in subregion S j by one matrix X̂j. By this way we can reduce the conservatism conduced by representing interactions among the fuzzy subsystems in a single matrix X. The proposed conditions in the criterion can be checked by means of linear matrix inequalities (LMIs) tools. Finally, an example is given to present the superiority of the proposed criterion.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Granular Computing
Pages696-699
Number of pages4
StatePublished - 2006
Event2006 IEEE International Conference on Granular Computing - Atlanta, GA, United States
Duration: 10 May 200612 May 2006

Publication series

Name2006 IEEE International Conference on Granular Computing

Conference

Conference2006 IEEE International Conference on Granular Computing
Country/TerritoryUnited States
CityAtlanta, GA
Period10/05/0612/05/06

Keywords

  • Linear matrix inequalities
  • Relaxed condition
  • Stabilization
  • T-S fuzzy system

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