Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/2869
Title: Optimality conditions for partial information stochastic control problems driven by Lévy processes
Authors: Khaled Bahlali
Nabil Khelfallah
Brahim Mezerdi
Keywords: Stochastic differential equation; Optimal control; Maximum principle; Partial information; Lévy processes; Teugels martingale.
Issue Date: 21-May-2014
Abstract: In this paper, we consider a partial information stochastic control problem where the system is governed by a nonlinear stochastic differential equation driven by Teugels martingales associated with some Lévy process and an independent Brownian motion. We prove optimality necessary conditions in the form of a maximum principle. These conditions turn out to be sufficient under some convexity assumptions. To illustrate the general results, an example is solved. Link http://www.sciencedirect.com.www.sndl1.arn.dz/science/article/pii/S0167691112001582?np=y
URI: http://archives.univ-biskra.dz/handle/123456789/2869
Appears in Collections:Publications Internationales



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