• DocumentCode
    3123520
  • Title

    Adaptive fault estimation design for T-S fuzzy systems with interval time varying delay

  • Author

    Gassara, Hamdi ; El Hajjaji, A. ; Chaabane, Mohamed

  • Author_Institution
    Inf. & Syst. Lab., Univ. of Picardie Jules Verne, Amiens, France
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    334
  • Lastpage
    339
  • Abstract
    This paper is concerned with fault estimation design for continuous-time Takagi-Sugeno (T-S) fuzzy systems with time delay by using adaptive fault diagnostic observer. Through constructing an appropriate type of Lyapunov function, criteria is established to reduce the conservatism of the design procedure. Based on appropriate type of Lyapunov function, new sufficient delay-dependent conditions are given to guarantee the stability of error dynamics in terms of Linear Matrix Inequalities (LMI). Finally, the effectiveness of the proposed approach is illustrated through a simulation example.
  • Keywords
    Lyapunov methods; adaptive control; control system synthesis; delays; fault diagnosis; fuzzy control; linear matrix inequalities; observers; stability; time-varying systems; Lyapunov function; T-S fuzzy systems; adaptive fault diagnostic observer; adaptive fault estimation design; continuous-time Takagi-Sugeno fuzzy systems; delay-dependent conditions; error dynamics; interval time varying delay; linear matrix inequalities; stability; Delay; Delay effects; Estimation; Fuzzy systems; Linear matrix inequalities; Symmetric matrices; Time varying systems; Linear Matrix Inequalities; Takagi-Sugeno fuzzy systems; fault tolerant control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007656
  • Filename
    6007656