Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/2342
Full metadata record
DC FieldValueLanguage
dc.contributor.authorA. Chala-
dc.date.accessioned2014-04-18T11:33:17Z-
dc.date.available2014-04-18T11:33:17Z-
dc.date.issued2014-04-18-
dc.identifier.urihttp://archives.univ-biskra.dz/handle/123456789/2342-
dc.description.abstractWe study a new approach of optimal control problems where the state equation is a Mean-Field Forward-Backward stochastic dierential equation, and the set of strict (classical) controls need not be convex, and the diffusion coeffcient and the generator coeffcient depends on the terms being controlled. In this paper, the main result consists of necessary conditions as well as a sufficient conditions for optimality in the form of a relaxed maximum principle. Link http://japs.isoss.net/may13.htmen_US
dc.language.isoenen_US
dc.subjectMean-Field Forward-Backward stochastic differential equation; Stochastic maximum principle; Relaxed control; Adjoint equation; Variational inequality.en_US
dc.titleA New Approach of Optimal Control Problem for Mean-Field Forward-backward Systemsen_US
dc.typeArticleen_US
Appears in Collections:Publications Internationales

Files in This Item:
File Description SizeFormat 
A New Approach of Optimal Control Problem for Mean-Field Forward-backward Systems.pdf43,39 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.