• DocumentCode
    294324
  • Title

    On the stability of linear system with Markovian jumping parameters

  • Author

    Benjelloun, K. ; Boukas, E.K.

  • Author_Institution
    Dept. of Mech. Eng., Ecole Polytech. de Montreal, Que., Canada
  • Volume
    1
  • fYear
    1995
  • fDate
    13-15 Dec 1995
  • Firstpage
    75
  • Abstract
    This paper deals with the stability of a class of linear systems with Markovian jumping parameters (LSMJP). The authors propose a transformation of the stochastic system to a deterministic one. A necessary and sufficient conditions for the stochastic stability is developed. Another condition is also established by using the Lyapunov exponent. Numerical examples are provided to show the usefulness of the proposed theoretical results
  • Keywords
    Markov processes; linear systems; matrix algebra; probability; stability; stochastic systems; Lyapunov exponent; Markovian jumping parameters; deterministic system; linear system; necessary and sufficient conditions; stochastic stability; stochastic system; Eigenvalues and eigenfunctions; Equations; Linear systems; Markov processes; Mathematical model; Stability; Stochastic processes; Stochastic systems; Sufficient conditions; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-2685-7
  • Type

    conf

  • DOI
    10.1109/CDC.1995.478571
  • Filename
    478571