• DocumentCode
    2851740
  • Title

    Control of singularly perturbed hybrid stochastic systems

  • Author

    Filar, J.A. ; Gaitsgory, V. ; Haurie, A.

  • Author_Institution
    Centre for Ind. & Appl. Math., Univ. of South Australia, SA, Australia
  • Volume
    1
  • fYear
    1996
  • fDate
    11-13 Dec 1996
  • Firstpage
    511
  • Abstract
    We study a class of optimal stochastic control problems involving two different time scales. The fast mode of the system is represented by deterministic state equations whereas the slow mode of the system corresponds to a jump disturbance process. Under a fundamental “ergodicity” property for a class of “infinitesimal control systems” associated with the fast mode, we show that there exists a limit problem which provides a good approximation to the optimal control of the perturbed system. Both the finite and infinite discounted horizon cases are considered. We show how an approximate optimal control law can be constructed from the solution of the limit control problem. In the particular case where the infinitesimal control systems possess the so-called turnpike property, i.e. are characterized by the existence of global attractors, the limit control problem can be given an interpretation related to a decomposition approach. Due to the constraints on page numbers all results are presented without proofs
  • Keywords
    optimal control; singularly perturbed systems; stochastic processes; stochastic systems; deterministic state equations; fast mode; finite discounted horizon; global attractors; infinite discounted horizon; infinitesimal control systems; jump disturbance process; limit problem; optimal stochastic control problems; singularly perturbed hybrid stochastic systems; slow mode; turnpike property; Australia Council; Control systems; Electrical equipment industry; Equations; Manufacturing systems; Mathematics; Optimal control; Production systems; Stochastic processes; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
  • Conference_Location
    Kobe
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-3590-2
  • Type

    conf

  • DOI
    10.1109/CDC.1996.574367
  • Filename
    574367