随机系数零和线性二次随机微分对策最优反馈控制策略算子的等价条件

IF 2.2 3区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Symmetry-Basel Pub Date : 2023-09-08 DOI:10.3390/sym15091726
Chao Tang, Jinxing Liu
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引用次数: 0

摘要

从以前的工作来看,在求解具有随机系数的LQ最优控制问题(简称SLQ)时,显著地表明了后向随机Riccati方程的解不足以保证反馈控制的鲁棒性。作为SLQ的概括,有趣的问题是,“微分游戏中的情况如何?”、“SLQ中会出现同样的现象吗?”。本文将提供答案。在本文中,我们考虑了一个具有随机系数的闭环二人零和LQ随机微分对策(简称SDG),并将Lü–Wang–Zhang的结果推广到随机微分对策中。在一些正则性假设下,我们建立了鲁棒最优反馈控制策略算子的存在性和相应的后向随机Riccati方程的可解性之间的等价性,从而导致闭环鞍点的存在。另一方面,如果相应的后向随机Riccati方程的解不具有所需的正则性,则该问题不是闭环可解的。
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The Equivalence Conditions of Optimal Feedback Control-Strategy Operators for Zero-Sum Linear Quadratic Stochastic Differential Game with Random Coefficients
From the previous work, when solving the LQ optimal control problem with random coefficients (SLQ, for short), it is remarkably shown that the solution of the backward stochastic Riccati equations is not regular enough to guarantee the robustness of the feedback control. As a generalization of SLQ, interesting questions are, “how about the situation in the differential game?”, “will the same phenomenon appear in SLQ?”. This paper will provide the answers. In this paper, we consider a closed-loop two-person zero-sum LQ stochastic differential game with random coefficients (SDG, for short) and generalize the results of Lü–Wang–Zhang into the stochastic differential game case. Under some regularity assumptions, we establish the equivalence between the existence of the robust optimal feedback control strategy operators and the solvability of the corresponding backward stochastic Riccati equations, which leads to the existence of the closed-loop saddle points. On the other hand, the problem is not closed-loop solvable if the solution of the corresponding backward stochastic Riccati equations does not have the needed regularity.
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来源期刊
Symmetry-Basel
Symmetry-Basel MULTIDISCIPLINARY SCIENCES-
CiteScore
5.40
自引率
11.10%
发文量
2276
审稿时长
14.88 days
期刊介绍: Symmetry (ISSN 2073-8994), an international and interdisciplinary scientific journal, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided, so that results can be reproduced.
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