Optimization of Discrete-Time, Stochastic Systems


Autoria(s): Papageorgiou, Nikolaos
Data(s)

29/11/2009

29/11/2009

1995

Resumo

* This research was supported by a grant from the Greek Ministry of Industry and Technology.

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.

Identificador

Serdica Mathematical Journal, Vol. 21, No 4, (1995), 267p-282p

1310-6600

http://hdl.handle.net/10525/642

Idioma(s)

en

Publicador

Institute of Mathematics and Informatics Bulgarian Academy of Sciences

Palavras-Chave #Bellman Function #Dynamic Programming #Conditional Expectation #Measurable Selection #Induction
Tipo

Article