• DocumentCode
    476135
  • Title

    H filtering design for uncertain discrete-time Takagi-Sugeno fuzzy system with time-varying delays

  • Author

    Qiu, Ji-qing ; Wang, Yan-jun ; Chen, Jing ; Li, Li

  • Author_Institution
    Coll. of Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang
  • Volume
    4
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1985
  • Lastpage
    1990
  • Abstract
    This paper considers the robust Hinfin filtering problem for uncertain discrete-time T-S fuzzy systems with time-varying delays where the variations of the parameters are not random. The uncertainties we investigate in this paper are norm-bounded. The problem is the design of a stable filter and a prescribed Hinfin performance of the filtering error system for all admissible uncertainties. Based on the Lyapunov-Krasovskii functional approach and linear matrix inequalities, sufficient conditions for the solvability of this problem are given, and then give an explicit expression of a Hinfin filter. Finally, the effectiveness and applicability of our proposed design approach is demonstrated by a numerical example.
  • Keywords
    Hinfin control; Lyapunov matrix equations; computability; control system synthesis; delay systems; discrete time systems; filtering theory; fuzzy control; fuzzy systems; linear matrix inequalities; robust control; time-varying systems; uncertain systems; Lyapunov-Krasovskii functional approach; filter stability; linear matrix inequalities; problem solvability; robust Hinfin filtering design; time-varying delays; uncertain discrete-time Takagi-Sugeno fuzzy system; Delay systems; Filtering; Filters; Fuzzy sets; Fuzzy systems; Linear matrix inequalities; Robustness; Symmetric matrices; Takagi-Sugeno model; Time varying systems; H filtering problem; Linear matrix inequality(LNII); Time-varying delays; Uncertain fuzzy systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620732
  • Filename
    4620732