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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2017 Issue 6, Pages 57–83 (Mi at14464)

This article is cited 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.

Presented by the member of Editorial Board: A. I. Kibzun

Received: 28.05.2016


 English version:
Automation and Remote Control, 2017, 78:6, 1006–1027

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