• DocumentCode
    2266208
  • Title

    Markov chain approximations for deterministic control problems with affine dynamics and quadratic cost in the control

  • Author

    Boué, Michelle ; Dupuis, Paul

  • Author_Institution
    Div. of Appl. Math., Brown Univ., Providence, RI, USA
  • Volume
    4
  • fYear
    1997
  • fDate
    10-12 Dec 1997
  • Firstpage
    3424
  • Abstract
    We restrict our attention to an important class of deterministic optimal control problems: those with dynamics that are affine in the control and cost that is quadratic in the control. As a representative control problem in this class we consider an escape time problem. The chains we construct are much more broadly applicable, since the only germane part of the problem formulation will be the form of the dynamics and the running cost. In particular, these chains can also be used for discounted problems, infinite time problems that do not involve discounting and constrained dynamics
  • Keywords
    Markov processes; dynamics; optimal control; Markov chain approximations; affine dynamics; deterministic optimal control problems; discounted problems; escape time problem; infinite time problems; quadratic cost; Calculus; Computer vision; Control systems; Cost function; Filtering; Filters; Mathematics; Noise robustness; Optimal control; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4187-2
  • Type

    conf

  • DOI
    10.1109/CDC.1997.652377
  • Filename
    652377