• DocumentCode
    2383069
  • Title

    Belief propagation in feedback systems: Connections to bode and observability

  • Author

    Yu, Sun ; Mehta, Prashant G. ; Meyn, Sean

  • Author_Institution
    Dept. of Mech. Sci. & Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    1268
  • Lastpage
    1273
  • Abstract
    This paper is concerned with uncertainty based characterizations of fundamental performance limitations (Bode formula) and input-output properties (observability) in feedback systems. A hidden Markov model (HMM) formulation is introduced, based on which a belief process (conditional pdf) is defined. The belief process expresses uncertainty in the state conditioned on history of noisy observations. Both the Bode formula and observability are related to the asymptotic dynamics of the belief process. These results are described for the case of Gaussian linear systems and for open-loop nonlinear systems with negative Lyapunov exponents.
  • Keywords
    Bode diagrams; Gaussian processes; Lyapunov methods; belief networks; feedback; hidden Markov models; linear systems; nonlinear control systems; observability; open loop systems; Bode formula; Gaussian linear systems; Lyapunov exponents; belief propagation; feedback systems; hidden Markov model; observability; open-loop nonlinear system; Belief propagation; Communication system control; Entropy; Feedback; Hidden Markov models; History; Nonlinear systems; Observability; Open loop systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4586667
  • Filename
    4586667