Optimal control problem regularization for the Markov process with finite number of states and constraints
- 作者: Miller B.M.1, Miller G.B.2, Semenikhin K.V.3
- 
							隶属关系: 
							- Kharkevich Institute for Information Transmission Problems
- Institute of Informatics Problems
- Moscow State Aviation Institute
 
- 期: 卷 77, 编号 9 (2016)
- 页面: 1589-1611
- 栏目: Stochastic Systems, Queueing Systems
- URL: https://journals.rcsi.science/0005-1179/article/view/150436
- DOI: https://doi.org/10.1134/S0005117916090071
- ID: 150436
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详细
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.
作者简介
B. Miller
Kharkevich Institute for Information Transmission Problems
							编辑信件的主要联系方式.
							Email: bmiller@iitp.ru
				                					                																			                												                	俄罗斯联邦, 							Moscow						
G. Miller
Institute of Informatics Problems
														Email: bmiller@iitp.ru
				                					                																			                												                	俄罗斯联邦, 							Moscow						
K. Semenikhin
Moscow State Aviation Institute
														Email: bmiller@iitp.ru
				                					                																			                												                	俄罗斯联邦, 							Moscow						
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