• DocumentCode
    2977073
  • Title

    Stochastic controllability and stochastic Lyapunov functions

  • Author

    Meyn, S.P.

  • Author_Institution
    Dept. of Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia
  • fYear
    1988
  • fDate
    7-9 Dec 1988
  • Firstpage
    1913
  • Abstract
    Sufficient conditions are established under which the law of large numbers and related ergodic theorems hold for nonlinear stochastic systems operating under feedback. It is shown that these conditions hold whenever a moment condition is satisfied, which may be interpreted as a generalization of the martingale property. If in addition a stochastic controllability condition holds, then it is shown that the underlying distributions governing the system converge to an invariant probability at a geometric rate. These results are illustrated with an example from nonlinear control theory
  • Keywords
    Lyapunov methods; controllability; feedback; nonlinear control systems; stochastic systems; Lyapunov functions; controllability; ergodic theorems; feedback; geometric convergence; law of large numbers; martingale property; nonlinear systems; stochastic systems; Closed loop systems; Controllability; Difference equations; Feedback; Level set; Lyapunov method; Stability; Stochastic processes; Stochastic systems; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/CDC.1988.194661
  • Filename
    194661