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Avtomatika i Telemekhanika, 2017, Issue 6, Pages 57–83
(Mi at14464)
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This article is cited in 12 scientific papers (total in 12 papers)
Stochastic Systems
Design of optimal strategies in the problems of discrete system control by the probabilistic criterion
V. M. Azanov, Yu. S. Kan Moscow State Aviation Institute, Moscow, Russia
Abstract:
A modification was proposed for the relations of the method of dynamic programming in the problems of optimal stochastic control of the discrete systems by the probabilistic performance criterion. It enabled one to simplify the process of finding the optimal Markov strategy and obtain a suboptimal solution. Its efficiency was verified by the examples of maneuver optimization of the stationary satellite in the neighborhood of a geostationary orbit. An explicit form of the optimal control for the bilinear system with probabilistic terminal criterion was determined using the results obtained.
Keywords:
stochastic optimal control, probabilistic criterion, discrete systems, method of dynamic programming.
Citation:
V. M. Azanov, Yu. S. Kan, “Design of optimal strategies in the problems of discrete system control by the probabilistic criterion”, Avtomat. i Telemekh., 2017, no. 6, 57–83; Autom. Remote Control, 78:6 (2017), 1006–1027
Linking options:
https://www.mathnet.ru/eng/at14464 https://www.mathnet.ru/eng/at/y2017/i6/p57
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Abstract page: | 284 | Full-text PDF : | 70 | References: | 45 | First page: | 23 |
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