• DocumentCode
    2581226
  • Title

    Construction of Lyapunov functions for piecewise-deterministic Markov processes

  • Author

    Mesquita, Alexandre R. ; Hespanha, João P.

  • Author_Institution
    Center for Control, Dynamical Syst. & Comput., Univ. of California, Santa Barbara, CA, USA
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    2408
  • Lastpage
    2413
  • Abstract
    The purpose of this contribution is twofold: 1) to present for the first time a Lyapunov function that proves exponential ergodicity of a process studied by the authors in, where the problem of controlling the probability density of a swarm of robotic agents was solved; 2) to introduce alongside the method used to construct this Lyapunov function, which is of interest in its own since it may be applicable to a wide class of piecewise-deterministc Markov processes. Our method searches for the Lyapunov function that maximizes a measure of the rate of convergence that appears in the theory of large deviations. Analytical solutions are often possible as shown by examples.
  • Keywords
    Lyapunov methods; Markov processes; probability; Lyapunov function constructions; exponential ergodicity; piecewise deterministic Markov processes; probability density; robotic agents; Convergence; Generators; Kernel; Lyapunov method; Markov processes; Steady-state; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5717973
  • Filename
    5717973