• DocumentCode
    2470711
  • Title

    Almost sure stability of stochastic linear systems with ergodic parameters: an average contractivity criterion

  • Author

    Bolzern, Paolo ; Colaneri, Patrizio ; Nicolao, Giuseppe De

  • Author_Institution
    Dipt. di Elettronica e Informazione, Politecnico di Milano
  • fYear
    2006
  • fDate
    13-15 Dec. 2006
  • Firstpage
    950
  • Lastpage
    954
  • Abstract
    This paper deals with the notion of almost sure stability for linear stochastic systems whose dynamic matrix depends on an ergodic process. It is shown that such systems are exponentially almost surely stable if and only if their transition matrix is averagely contractive over a finite, yet unknown, time interval. In order to test almost sure stability, an efficient computational procedure based on a Monte Carlo strategy is proposed. The applicability of the proposed method is illustrated by means of a numerical example
  • Keywords
    Monte Carlo methods; asymptotic stability; linear systems; matrix algebra; stochastic systems; Monte Carlo strategy; contractivity criteria; dynamic matrix; ergodic parameter; stochastic linear system; system stability; Control systems; Convergence; Linear systems; Monte Carlo methods; Page description languages; Stability criteria; Stochastic resonance; Stochastic systems; Testing; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2006 45th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    1-4244-0171-2
  • Type

    conf

  • DOI
    10.1109/CDC.2006.377061
  • Filename
    4177376