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Avtomatika i Telemekhanika, 2016, Issue 9, Pages 96–123
(Mi at14552)
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This article is cited in 10 scientific papers (total 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.
Citation:
B. M. Miller, G. B. Miller, K. V. Siemenikhin, “Optimal control problem regularization for the Markov process with finite number of states and constraints”, Avtomat. i Telemekh., 2016, no. 9, 96–123; Autom. Remote Control, 77:9 (2016), 1589–1611
Linking options:
https://www.mathnet.ru/eng/at14552 https://www.mathnet.ru/eng/at/y2016/i9/p96
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Statistics & downloads: |
Abstract page: | 473 | Full-text PDF : | 89 | References: | 60 | First page: | 32 |
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