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MAXIMUM PRINCIPLE FOR OPTIMAL CONTROL OF FULLY COUPLED FORWARD-BACKWARD STOCHASTIC DIFFERENTIAL DELAYED EQUATIONS

机译:完全耦合正向-随机微分时滞方程最优控制的最大原理

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摘要

This paper deals with the optimal control problem in which the controlled system is described by a fully coupled anticipated forward-backward stochastic differential delayed equation. The maximum principle for this problem is obtained under the assumption that the diffusion coefficient does not contain the control variables and the control domain is not necessarily convex. Both the necessary and sufficient conditions of optimality are proved. As illustrating examples, two kinds of linear quadratic control problems are discussed and both optimal controls are derived explicitly.
机译:本文讨论了最优控制问题,在该问题中,受控系统由完全耦合的预期前向-后向随机微分延迟方程描述。在扩散系数不包含控制变量且控制域不一定为凸的前提下获得了此问题的最大原理。证明了最优性的必要条件和充分条件。作为示例,讨论了两种线性二次控制问题,并明确导出了两种最优控制。

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