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
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