• DocumentCode
    2293663
  • Title

    Quadratic stability analysis of fuzzy control systems

  • Author

    Yang, Guang-hong ; Dong, Jiuxiang

  • Author_Institution
    Temasek Labs., Nat. Univ. of Singapore
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Abstract
    This paper is concerned with the problem of quadratic stability analysis of nonlinear continuous-time control systems given by Takagi-Sugeno (T-S) fuzzy models. A new quadratic stability condition for the class of fuzzy control systems is presented in terms of solvability of linear matrix inequalities (LMIs). It is shown that the new quadratic stability criterion provides better or at least the same results of the existing methods in the literature, and numerical examples are given to illustrate the effectiveness of the proposed stability criterion
  • Keywords
    continuous time systems; fuzzy control; linear matrix inequalities; nonlinear control systems; stability; Takagi-Sugeno fuzzy models; fuzzy control systems; linear matrix inequalities; nonlinear continuous-time control systems; quadratic stability analysis; Control system synthesis; Fuzzy control; Fuzzy sets; Fuzzy systems; Linear matrix inequalities; Regulators; Stability analysis; Stability criteria; Symmetric matrices; Takagi-Sugeno model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2006
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    1-4244-0209-3
  • Electronic_ISBN
    1-4244-0209-3
  • Type

    conf

  • DOI
    10.1109/ACC.2006.1657402
  • Filename
    1657402