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A McKean-Vlasov optimal mixed regular-singular control problem for nonlinear stochastic systems with Poisson jump processes

机译:具有泊松跳跃过程的非线性随机系统的McKean-Vlasov最优混合正则奇异控制问题

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In this paper, we develop the necessary conditions of optimality for a new class of mixed regular-singular control problem for nonlinear forward-backward stochastic systems with Poisson jump processes of McKean-Vlasov type. The coefficients of the system and the performance functional depend not only on the state process but also its marginal law of the state process through its expected value. The control variable has two components, the first being absolutely continuous and the second singular control. Our optimality conditions for these McKean-Vlasov's systems are established by means of convex perturbation techniques for both continuous and singular parts. In our class of McKean-Vlasov control problem, there are two types of jumps for the state processes, the inaccessible ones which come from the Poisson martingale part and the predictable ones which come from the singular control part. (C) 2015 Elsevier B.V. All rights reserved.
机译:在本文中,我们为McKean-Vlasov型Poisson跳跃过程的一类新型非线性正-后向随机混合混合奇异控制问题提供了最优性的必要条件。系统的系数和性能函数不仅取决于状态过程,而且还取决于其预期值对状态过程的边际定律。控制变量具有两个组成部分,第一个是绝对连续的,第二个是奇异控制。我们通过连续和奇异零件的凸摄动技术建立了这些McKean-Vlasov系统的最优条件。在我们的McKean-Vlasov控制问题中,状态过程有两种类型的跳跃,一种是来自Poisson martingale部分的不可及的跳跃,另一种是来自奇异控制部分的可预测的跳跃。 (C)2015 Elsevier B.V.保留所有权利。

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