Discrete-time hybrid control in Borel spaces: Average cost optimality criterion

被引:5
|
作者
Jasso-Fuentes, Hector [1 ]
Menaldi, Jose-Luis [2 ]
Prieto-Rumeau, Tomas [3 ]
Robin, Maurice [4 ]
机构
[1] IPN, CINVESTAV, Dept Matemat, A Postal 14-740, Mexico City 07000, DF, Mexico
[2] Wayne State Univ, Dept Math, Detroit, MI 48202 USA
[3] UNED, Dept Stat & Operat Res, Madrid, Spain
[4] Fdn Campus Paris Saclay, F-91190 St Aubin, France
关键词
Hybrid control systems; Markov decision processes; Dynamic programming; Ergodic (a.k.a. average) criterion; IMPULSE CONTROL; SYSTEMS; MODEL;
D O I
10.1016/j.jmaa.2018.03.007
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper addresses an optimal hybrid control problem in discrete-time with Borel state and action spaces. By hybrid we mean that the evolution of the state of the system may undergo deep changes according to structural modifications of the dynamic. Such modifications occur either by the position of the state or by means of the controller's actions. The optimality criterion is of a long-run ratio-average (or ratio-ergodic) type. We provide the existence of optimal average policies for this hybrid control problem by analyzing an associated dynamic programming equation. We also show that this problem can be translated into a standard (or non-hybrid) optimal control problem with cost constraints. Besides, we show that our model includes some special and important families of control problems, such as those with an impulsive or switching mode. Finally, to illustrate our results, we provide an example on a pollution-accumulation problem. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码:1695 / 1713
页数:19
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