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Maximum principle in nonlinear optimal stochastic singular control problems

机译:非线性最优随机奇异控制问题的极大原理

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In this paper, necessary conditions of optimality, in the form of a maximum principle, are obtained for singular stochastic control problems. This maximum principle is derived for a state process satisfying a general stochastic differential equation where the coefficient associated to the control process can be dependent on the state. We consider the class of so called robust nonlinear impulsive systems, those discontinuous solutions can be considered also as point-wise limits of ordinary solutions. The special conditions of robustness permit to derive the backward equations for adjoint variables in concise form of differential equation with measure and thereby to derive the optimality condition in the form of strong (point-wise) maximum principle.
机译:在本文中,以奇异的随机控制问题为基础,以最大原理的形式获得了最优性的必要条件。对于满足通用随机微分方程的状态过程,可以推导出该最大原理,其中与控制过程相关的系数可以取决于状态。我们考虑了所谓的鲁棒非线性脉冲系统,这些不连续解也可以视为普通解的逐点极限。鲁棒性的特殊条件允许以带度量的简洁形式导出伴随变量的后向方程,从而以强(逐点)最大原理的形式导出最优性条件。

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