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首页> 外文期刊>International journal of computational systems engineering >Stochastic maximum principle for mean-field type singular optimal control problem with discounted cost
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Stochastic maximum principle for mean-field type singular optimal control problem with discounted cost

机译:具有折扣的均值场型奇异最优控制问题的随机最大原理

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摘要

In this article, mean-field type stochastic singular optimal control problem with discounted cost is studied over an infinite time interval. The discounted cost makes the cost functional is bounded, which guarantees the existence of optimal control. The control variable has two components as classical and singular control. Moreover the singular control satisfies bounded variation, non-decreasing continuous on the left with right limits. The proposed system is investigated in two different cases, such as without and with delay. In addition, infinite horizon version of stochastic maximum principle is established by using the convex control domain in each case. The obtained theoretical results are applied to optimal harvesting problem and optimal consumption problem.
机译:本文研究了在无限时间间隔内具有折扣成本的均值型随机奇异最优控制问题。折价成本使成本函数具有一定的界限,从而保证了最优控制的存在。控制变量具有经典控制和奇异控制两个部分。此外,奇异控制满足有界变化,在左侧以右侧极限连续减小。在两种不同的情况下(例如没有延迟和延迟),对提出的系统进行了研究。另外,在每种情况下,都通过使用凸控制域来建立随机最大值原理的无限地平线版本。将获得的理论结果应用于最优收获问题和最优消耗问题。

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