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Towards the optimal control of Markov chains with constraints

  • Boris Miller
  • , Gregory Miller
  • , Konstantin Siemenikhin

Research output: Contribution to journalArticleResearchpeer-review

Abstract

An optimal control problem with constraints is considered on a finite interval for a non-stationary Markov chain with a finite state space. The constraints are given as a set of inequalities. The optimal solution existence is proved under a natural assumption that the set of admissible controls is non-empty. The stochastic control problem is reduced to a deterministic one and it is shown that the optimal solution satisfies the maximum principle, moreover it can be chosen within a class of Markov controls. On the basis of this result an approach to the numerical solution is proposed and its implementation is illustrated by examples.
Original languageEnglish
Pages (from-to)1495 - 1502
Number of pages8
JournalAutomatica
Volume46
Issue number9
DOIs
Publication statusPublished - 2010

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