Abstract
We consider a stochastic control problem of a non linear system in which the variable control has two components, the first being absolutely continuous and the second singular. We assume a convex state constraint, a non convex cost criterion and we allow the absolutely continuous component of the control to enter both the drift and diffusion coefficients. The maximum principle is established by using mainly a convex perturbation on a given optimal control. This result generalizes at the same time the result obtained by Cadellinas-Haussman as well as that obtained by Bensoussan.
Subject
Statistics and Probability,Analysis
Reference20 articles.
1. S. Bahlali Doctorat Thesis, Department of mathematics, Batna University - Algeria (2002).
2. S. Bahlali, B. Mezerdi. The maximum principle in optimal control of stochastic differential equations driven by martingale measures. International conference in Stochastic Analysis and Applications. Hammamet, 22-27 October 2001, Edit. S. Albeverio, V. Kondratiev, H. Ouerdiane (2002).
3. A. Bensoussan. Lecture on stochastic control, in non linear filtering and stochastic control, Lecture notes in mathematics 972, Proc. Cortona, Springer Verlag (1981).
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