• DocumentCode
    2912639
  • Title

    Finite-time stabilization for discrete fuzzy jump nonlinear systems with time delays

  • Author

    Yingqi Zhang ; Peng Shi ; Sing Kiong Nguang ; Karimi, Hamid Reza

  • Author_Institution
    Coll. of Sci., Henan Univ. of Technol., Zhengzhou, China
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    4885
  • Lastpage
    4890
  • Abstract
    This paper is concerned with the problem of finite-time H∞ control for a class of discrete-time Markovian jump nonlinear systems with time delays represented by Takagi-Sugeno (T-S) model. First, by using fuzzy stochastic Lyapunov-Krasovskii functional approach, sufficient conditions are derived such that the resulting close-loop system is stochastic finite-time bounded and satisfies a prescribed H∞ disturbance attenuation level in a given finite-time interval. Second, sufficient criteria on stochastic finite-time H∞ stabilization via fuzzy state feedback are provided, and the fuzzy state feedback controller is designed by solving an optimization problem in terms of linear matrix inequalities. Finally, a numerical example is given to show the validity of the proposed designed techniques.
  • Keywords
    H∞ control; Markov processes; closed loop systems; control system synthesis; delay systems; discrete time systems; fuzzy control; linear matrix inequalities; nonlinear control systems; optimisation; stability; state feedback; stochastic systems; Lyapunov-Krasovskii functional approach; T-S model; Takagi-Sugeno model; close-loop system; discrete fuzzy jump system; discrete-time Markovian jump system; finite-time H∞ control; finite-time stabilization; fuzzy state feedback controller; fuzzy stochastic approach; linear matrix inequalities; nonlinear system; optimization problem; stochastic finite-time H∞ stabilization; time delay; Asymptotic stability; Educational institutions; Fuzzy systems; Stability criteria; State feedback; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580595
  • Filename
    6580595