• DocumentCode
    3666821
  • Title

    Finite-time H fuzzy control for Markovian Jump stochastic systems

  • Author

    Aiqing Zhang

  • Author_Institution
    School of Mathematics and Computer Science, Jianghan University, Wuhan China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1362
  • Lastpage
    1367
  • Abstract
    This paper deals with the problems of finite-time stochastic stabilization and finite-time H control for Markovian Jump stochastic systems via a fuzzy-control approach. The Takagi-Sugeno (T-S) fuzzy model is employed to represent a nonlinear stochastic system with Markovian jump parameters. The purpose of the finite-time stochastic stabilization problem is to design a state feedback fuzzy controller such that the closed-loop fuzzy system is finite-time stochastic stable. In the H control problem, in addition to the finite-time stochastic stability requirement, a prescribed performance is required to be achieved. Linear matrix inequalities (LMIs) sufficient conditions are developed to solve these problems, respectively. The expressions of desired state feedback fuzzy controllers are given.
  • Keywords
    "Stochastic systems","Stochastic processes","Symmetric matrices","Asymptotic stability","Stability analysis","Linear matrix inequalities","Sufficient conditions"
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
  • Print_ISBN
    978-1-4799-8728-3
  • Type

    conf

  • DOI
    10.1109/CYBER.2015.7288142
  • Filename
    7288142