Augmented Lyapunov-Krasovskii functional approaches to robust stability criteria for uncertain Takagi-Sugeno fuzzy systems with time-varying delays

O. M. Kwon, M. J. Park, S. M. Lee, Ju H. Park

Research output: Contribution to journalArticlepeer-review

108 Scopus citations

Abstract

This paper considers the problem of robust stability analysis for uncertain Takagi-Sugeno (T-S) fuzzy systems with time-varying delays. By constructing an augmented Lyapunov-Krasovskii functional and utilizing Finsler's Lemma, a novel criterion for delay-dependent robust stability of T-S fuzzy model with time-varying delay is derived in terms of linear matrix inequalities (LMIs). Also, a further improved stability criterion is proposed by utilizing free weighting techniques. Finally, three numerical examples are included to show the superiority of the proposed criteria.

Original languageEnglish
Pages (from-to)1-19
Number of pages19
JournalFuzzy Sets and Systems
Volume201
DOIs
StatePublished - 16 Aug 2012

Keywords

  • Fuzzy system models
  • LMI
  • Lyapunov method
  • Stability
  • T-S fuzzy systems
  • Time-varying delay

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