• DocumentCode
    226419
  • Title

    Dissipativity analysis for discrete-time T-S fuzzy systems with time-varying delay and stochastic perturbation

  • Author

    Xiaozhan Yang ; Zhong Zheng ; Yuxin Zhao ; Ligang Wu

  • Author_Institution
    Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., Harbin, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    2096
  • Lastpage
    2102
  • Abstract
    This paper addresses the problems of dissipativity analysis for discrete-time Takagi-Sugeno (T-S) fuzzy systems with time-varying state delay and stochastic perturbation. Firstly, the uncertainty of state delay is pulled out of the original system by a novel model transformation process. Consequently the transformed model, which consists of a linear timeinvariant system and a norm-bounded uncertain subsystem, is obtained to simplify the dissipativity analysis. By using this model transformation method combined with the Lyapunov-Krasovskii technique, sufficient conditions of the dissipativity are established. Finally, two examples are presented: one shows the effectiveness of model transformation method, and the other presents comparisons with alternative approaches.
  • Keywords
    Lyapunov methods; delays; discrete time systems; fuzzy systems; perturbation techniques; stochastic processes; time-varying systems; uncertain systems; Lyapunov-Krasovskii technique; discrete-time T-S fuzzy systems; discrete-time Takagi-Sugeno fuzzy systems; dissipativity analysis; linear time-invariant system; model transformation method; model transformation process; norm-bounded uncertain subsystem; state delay uncertainty; stochastic perturbation; sufficient conditions; time-varying state delay; Approximation error; Delays; Fuzzy systems; Stability analysis; Stochastic processes; Time-varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891533
  • Filename
    6891533