Relaxed stability conditions for discrete-time fuzzy-model-based control systems

Ginny Y. Wong, Hung Fat Frank Leung, Hak Keung Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper presents the stability conditions for discrete-time fuzzy-model-based control systems subject to parameter uncertainties. The nonlinear plant subject to parameter uncertainties is represented by a Takagi-Sugeno fuzzy model with uncertain grades of memberships. Relaxed stability conditions for this class of fuzzy control systems will be derived to guarantee the system stability. A numerical example will be presented to show the effectiveness of the proposed approach.
Original languageEnglish
Title of host publication2009 IEEE International Conference on Fuzzy Systems - Proceedings
Pages221-226
Number of pages6
DOIs
Publication statusPublished - 10 Dec 2009
Event2009 IEEE International Conference on Fuzzy Systems - Jeju Island, Korea, Republic of
Duration: 20 Aug 200924 Aug 2009

Conference

Conference2009 IEEE International Conference on Fuzzy Systems
Country/TerritoryKorea, Republic of
CityJeju Island
Period20/08/0924/08/09

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Applied Mathematics
  • Theoretical Computer Science

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