• DocumentCode
    3443347
  • Title

    Stochastic stability of semi-Markov jump linear systems: An LMI approach

  • Author

    Huang, Ji ; Shi, Yang

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Victoria, Victoria, BC, Canada
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    4668
  • Lastpage
    4673
  • Abstract
    The semi-Markov jump linear system is more general than the classic Markov jump linear system. In the semi-Markov jump linear systems, the governing stochastic process is not a Markov process, but a semi-Markov process. Instead of the exponential distribution for the sojourn-time in each mode in the jump linear system, the Weibull distribution is considered in this paper. By deriving the infinitesimal generator for the Lyapunov function of the semi-Markov jump linear system, the numerically testable sufficient conditions for stochastic stability of semi-Markov jump linear systems are obtained. Numerical examples are provided to validate the proposed sufficient stochastic stability conditions.
  • Keywords
    Lyapunov methods; Markov processes; Weibull distribution; exponential distribution; linear matrix inequalities; linear systems; stability; stochastic systems; LMI approach; Lyapunov function; Weibull distribution; exponential distribution; infinitesimal generator; linear matrix inequality; semiMarkov jump linear systems; semiMarkov process; sojourn-time; stochastic process; stochastic stability; Exponential distribution; Linear systems; Markov processes; Numerical stability; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6161313
  • Filename
    6161313