解耦 G-FBSDE 的最优松弛控制

IF 1.6 3区 数学 Q2 MATHEMATICS, APPLIED Journal of Optimization Theory and Applications Pub Date : 2024-07-24 DOI:10.1007/s10957-024-02495-2
Hafida Bouanani, Omar Kebiri, Carsten Hartmann, Amel Redjil
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引用次数: 0

摘要

在本文中,我们研究了一个由 G 布朗运动(G-FBSDE)驱动的非退化扩散的解耦前向后向随机微分方程系统。我们的目标是为一个非光滑随机最优控制问题建立一个松弛最优控制。后者以解耦 G-FBSDE 的形式给出。成本函数是初始时间后向随机微分方程的解。建立松弛最优控制存在性的关键思路是将原始控制问题替换为一个适当正则化的问题,该问题的系数被修正,证明松弛控制的存在性,然后求极限。
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Optimal Relaxed Control for a Decoupled G-FBSDE

In this paper we study a system of decoupled forward-backward stochastic differential equations driven by a G-Brownian motion (G-FBSDEs) with non-degenerate diffusion. Our objective is to establish the existence of a relaxed optimal control for a non-smooth stochastic optimal control problem. The latter is given in terms of a decoupled G-FBSDE. The cost functional is the solution of the backward stochastic differential equation at the initial time. The key idea to establish existence of a relaxed optimal control is to replace the original control problem by a suitably regularised problem with mollified coefficients, prove the existence of a relaxed control, and then pass to the limit.

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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
149
审稿时长
9.9 months
期刊介绍: The Journal of Optimization Theory and Applications is devoted to the publication of carefully selected regular papers, invited papers, survey papers, technical notes, book notices, and forums that cover mathematical optimization techniques and their applications to science and engineering. Typical theoretical areas include linear, nonlinear, mathematical, and dynamic programming. Among the areas of application covered are mathematical economics, mathematical physics and biology, and aerospace, chemical, civil, electrical, and mechanical engineering.
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