• DocumentCode
    2482402
  • Title

    Computation of Lyapunov measure for almost everywhere stability

  • Author

    Vaidya, Umesh ; Mehta, Prashant G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA
  • fYear
    2006
  • fDate
    13-15 Dec. 2006
  • Firstpage
    5228
  • Lastpage
    5233
  • Abstract
    In our recent paper (Vaidya, 2006) Lyapunov measure is introduced as a new tool for verifying almost everywhere stability of an invariant set in a nonlinear dynamical system or continuous mapping. It is shown that for almost everywhere stable system explicit formula for the Lyapunov measure can be obtained as a infinite series or as a resolvent of stochastic linear operator. This paper focus on the computation aspects of the Lyapunov measure. Methods for computing these Lyapunov measures are presented based upon set-oriented numerical approaches, which are used for the finite dimensional approximation of the linear operator. Stability results for the finite dimensional approximation of the linear operator are presented. The stability in finite dimensional space results in further weaker notion of stability which in this paper is referred to as coarse stability
  • Keywords
    Lyapunov methods; mathematical operators; nonlinear dynamical systems; stochastic processes; Lyapunov measure; continuous mapping; finite dimensional approximation; nonlinear dynamical system; stability; stochastic linear operator; Control systems; Density functional theory; Linear approximation; Lyapunov method; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Stability; Stochastic processes; 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.2006.376853
  • Filename
    4177953