Abstract
We consider a stochastic control problem in the case where the set of control domain is convex, the system is governed by a nonlinear forward–backward doubly stochastic differential equation with given terminal condition. The criteria to be minimized is in the general form, with initial and terminal costs. We derive a maximum principle of optimality.
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The author would also like to thank the anonymous referees for their careful reading and helpful suggestions on the original version of this paper.
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This work is Partially supported by The Algerian PNR Project No: 8/u07/857.
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Adel, C. Necessary condition for optimality of forward–backward doubly system. Afr. Mat. 26, 575–584 (2015). https://doi.org/10.1007/s13370-014-0227-1
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DOI: https://doi.org/10.1007/s13370-014-0227-1
Keywords
- Forward-backward doubly stochastic differential equation
- Maximum principle
- Adjoint equation
- Variational inequality