• DocumentCode
    115448
  • Title

    Robust finite-time bounded H control for a class of nonlinear quadratic Markovian jump systems

  • Author

    Jun Cheng ; Hong Zhu ; Shouming Zhong ; Yong Zeng ; Yuping Zhang

  • Author_Institution
    Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    4316
  • Lastpage
    4321
  • Abstract
    This paper is concerned with the finite-time stabilization problem for a class of nonlinear quadratic Markovian jump systems (MJSs) subject to feedback control gain perturbations. By using the stochastic quadratic Lyapunov function, sufficient conditions are given for the existence of desired controller gains as well as probability rate matrices. The obtained results are established by employing a set of linear matrix inequalities (LMIs)-based algorithm and a convex optimization problem. At last, two examples are given to demonstrate the feasibility and effectiveness of the proposed method.
  • Keywords
    H control; Lyapunov methods; Markov processes; convex programming; feedback; linear matrix inequalities; nonlinear control systems; perturbation techniques; probability; robust control; stochastic systems; LMI-based algorithm; MJS; controller gains; convex optimization problem; feedback control gain perturbations; finite time stabilization problem; linear matrix inequalities; nonlinear quadratic Markovian jump system; probability rate matrices; robust finite-time bounded H control; stochastic quadratic Lyapunov function; sufficient conditions; Control systems; Convex functions; Educational institutions; Linear matrix inequalities; Lyapunov methods; Silicon; Zinc;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040062
  • Filename
    7040062