Decentralized Control for Continuous-Time Stochastic Systems With Asymmetric Information Controllers

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Qingyuan Qi, Qing Chang, Yue Sun
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引用次数: 0

Abstract

This article solves the decentralized optimal control problem for Itô stochastic systems where two controllers can access different information sets due to transmission delay. In contrast to the existing literature, the dynamics of the system involves two controllers with different information structure, which poses challenges in solving the optimal control strategy. In this paper, by adopting variational methods, the necessary and sufficient solvability conditions in terms of delayed forward and backward stochastic differential equations (D-FBSDEs) are derived for the problem considered. Furthermore, by decoupling these D-FBSDEs, a novel decentralized control strategy is derived. Finally, a numerical example demonstrates the effectiveness of the proposed methods and results.

具有非对称信息控制器的连续时间随机系统的分散控制
本文解决了Itô随机系统的分散最优控制问题,其中两个控制器由于传输延迟可以访问不同的信息集。与现有文献相比,系统动力学涉及两个具有不同信息结构的控制器,这给求解最优控制策略带来了挑战。本文采用变分方法,导出了时滞正反向随机微分方程(D-FBSDEs)的充分可解必要条件。此外,通过解耦这些D-FBSDEs,推导出一种新的分散控制策略。最后,通过数值算例验证了所提方法和结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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