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Necessary condition for optimality of forward–backward doubly system
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...
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Published in: | Afrika mathematica 2015-06, Vol.26 (3-4), p.575-584 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | 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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ISSN: | 1012-9405 2190-7668 |
DOI: | 10.1007/s13370-014-0227-1 |