Optimization of Discrete-Time, Stochastic Systems
Serdica Mathematical Journal, Tome 21 (1995) no. 4, pp. 267-282
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In this paper we study discrete-time, finite horizon stochastic systems
with multivalued dynamics and obtain a necessary and sufficient condition for
optimality using the dynamic programming method. Then we examine a nonlinear
stochastic discrete-time system with feedback control constraints and for it, we
derive a necessary and sufficient condition for optimality which we then use to
establish the existence of an optimal policy.
Keywords:
Bellman Function, Dynamic Programming, Conditional Expectation, Measurable Selection, Induction
@article{SMJ2_1995_21_4_a0,
author = {Papageorgiou, Nikolaos},
title = {Optimization of {Discrete-Time,} {Stochastic} {Systems}},
journal = {Serdica Mathematical Journal},
pages = {267--282},
publisher = {mathdoc},
volume = {21},
number = {4},
year = {1995},
language = {en},
url = {http://geodesic.mathdoc.fr/item/SMJ2_1995_21_4_a0/}
}
Papageorgiou, Nikolaos. Optimization of Discrete-Time, Stochastic Systems. Serdica Mathematical Journal, Tome 21 (1995) no. 4, pp. 267-282. http://geodesic.mathdoc.fr/item/SMJ2_1995_21_4_a0/