• DocumentCode
    3282134
  • Title

    Fuzzy observer design for nonlinear stochastic time-delay systems via sliding mode control

  • Author

    Liying, Zhao ; Fei, Jia ; Qingsong, Gong ; Xiangkui, Zhao

  • Author_Institution
    Sch. of Appl. Sci., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    431
  • Lastpage
    434
  • Abstract
    This paper addresses the problem of observer-based sliding mode control for nonlinear stochastic time-delay systems represented by Takagi-Sugeno(T-S) fuzzy model. A delay-dependent sufficient condition for the asymptotic stability (in probability) of the overall closed-loop fuzzy stochastic system is derived. Moreover, it is shown that when the linear matrix inequalities (LMIs) are feasible, the sliding mode in the estimation space can be attained in finite time. Finally, a simulation example is shown to illustrate the proposed method.
  • Keywords
    asymptotic stability; closed loop systems; control system synthesis; delays; fuzzy control; linear matrix inequalities; nonlinear control systems; observers; stochastic systems; variable structure systems; LMI; Takagi-Sugeno fuzzy model; asymptotic stability; closed-loop system; delay-dependent sufficient condition; estimation space; fuzzy observer design; linear matrix inequalities; nonlinear stochastic time-delay systems; sliding mode control; Delay; Fuzzy systems; Observers; Robustness; Sliding mode control; Stochastic processes; Switches; Takagi-Sugeno(T-S); delay-dependent; sliding-mode control; stochastic system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5777702
  • Filename
    5777702