Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/2278
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dc.contributor.authorK. Bahlali-
dc.contributor.authorN. Khelfallah-
dc.contributor.authorB. Mezerdi-
dc.date.accessioned2014-04-11T16:06:43Z-
dc.date.available2014-04-11T16:06:43Z-
dc.date.issued2014-04-11-
dc.identifier.urihttp://archives.univ-biskra.dz/handle/123456789/2278-
dc.description.abstractIn 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/science/article/pii/S0167691112001582en_US
dc.subjectStochastic differential equation; Optimal control; Maximum principle; Partial information; Lévy processes; Teugels martingaleen_US
dc.titleOptimality conditions for partial information stochastic control problems driven by Lévy processesen_US
dc.typeArticleen_US
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