• DocumentCode
    547337
  • Title

    New robust control for uncertain T-S fuzzy systems with time-varying state and input delays

  • Author

    Jie-Zhu Song ; Sheng-Juan Huang

  • Author_Institution
    Sci. of Sch., Univ. of Sci. & Technol. of LiaoNing, Anshan, China
  • Volume
    3
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    343
  • Lastpage
    347
  • Abstract
    This paper focuses on the robust control for uncertain Takagi-Sugeno (T-S) fuzzy systems with time-varying state and input delays. Based on Lyapunov-Krasoviskii functional method, a new delay-dependent stabilization criterion is proposed to guarantee the asymptotic stabilization of fuzzy systems with parametric uncertainties. These conditions are proposed in linear matrix inequalities (LMIs) format, which could overcome the conservatism of the existing ones. An illustrative examples is given to show the effectiveness and merits of the proposed fuzzy controller design methodology.
  • Keywords
    Lyapunov methods; asymptotic stability; control system synthesis; delays; fuzzy control; fuzzy systems; linear matrix inequalities; robust control; time-varying systems; uncertain systems; Lyapunov-Krasoviskii functional method; asymptotic stabilization; delay-dependent stabilization criterion; fuzzy controller design methodology; linear matrix inequalities; parametric uncertainties; robust control; time-varying input delays; time-varying state delays; uncertain Takagi-Sugeno fuzzy systems; Delay; Delay effects; Fuzzy systems; Robust control; Stability analysis; Symmetric matrices; Time varying systems; Delay-dependent stabilization; Robust control; T-S fuzzy systems; Time delay; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952694
  • Filename
    5952694