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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2016 Issue 9, Pages 96–123 (Mi at14552)

This article is cited in 10 papers

Stochastic Systems, Queuing Systems

Optimal control problem regularization for the Markov process with finite number of states and constraints

B. M. Millera, G. B. Millerb, K. V. Siemenikhinc

a Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia
b Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
c Moscow State Aviation Institute, Moscow, Russia

Abstract: The optimal control problem is considered for a system given by the Markov chain with integral constraints. It is shown that the solution to the optimal control problem on the set of all predictable controls satisfies Markov property. This optimal Markov control can be obtained as a solution of the corresponding dual problem (in case if the regularity condition holds) or (in other case) by means of proposed regularization method. The problems arising due to the system nonregularity along with the way to cope with those problems are illustrated by an example of optimal control problem for a single channel queueing system.

Presented by the member of Editorial Board: A. B. Tsybakov

Received: 26.04.2015


 English version:
Automation and Remote Control, 2016, 77:9, 1589–1611

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