The strict and relaxed stochastic maximum principle for optimal control problem of backward systems
Probability
2008-12-20 v5 Optimization and Control
Abstract
We consider a stochastic control problem where the set of controls is not necessarily convex and the system is governed by a nonlinear backward stochastic differential equation. We establish necessary as well as sufficient conditions of optimality for two models. The first concerns the strict (classical) controls. The second is an extension of the first to relaxed controls, who are a measure valued processes.
Keywords
Cite
@article{arxiv.0801.4668,
title = {The strict and relaxed stochastic maximum principle for optimal control problem of backward systems},
author = {Seid Bahlali},
journal= {arXiv preprint arXiv:0801.4668},
year = {2008}
}