Robust Control for Multiplayer Nonzero-Sum Differential Games With Switching Topology and Input Delay

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Robust and Nonlinear Control Pub Date : 2024-10-27 DOI:10.1002/rnc.7698
Yinglu Zhou, Yinya Li, Andong Sheng, Guoqing Qi
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Abstract

This article investigates a multiplayer nonzero-sum differential game (MNDG) with switching topology and input delay. The Hamilton–Jacobi–Isaacs (HJI) equation is used to derive the optimal control strategies. To solve the issue of switching topology, the control strategies are decoupled with the communication topology. Then, the stability of the system can be achieved regardless of changes in communication topology with the designed control strategies. This does not require a restriction on the dwell time, making the system stability conditions more relaxed. The Lyapunov–Krasovskii functional (LKF) is constructed to prove the stability of the system in the presence of time-varying input delay. To cope with the real-world situation, the input delay is considered to be disturbed by a time-varying perturbation in this article. With these treatments, the system is more in line with real-world applications. Simulation examples are given to validate the efficiency of the presented methods.

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具有切换拓扑和输入延迟的多人非零和微分对策的鲁棒控制
本文研究了具有交换拓扑和输入延迟的多人非零和微分对策。采用Hamilton-Jacobi-Isaacs (HJI)方程推导出最优控制策略。为了解决交换拓扑的问题,控制策略与通信拓扑解耦。利用所设计的控制策略,可以在不影响通信拓扑变化的情况下实现系统的稳定性。这不需要限制停留时间,使系统稳定性条件更加宽松。构造Lyapunov-Krasovskii泛函(LKF)来证明系统在时变输入延迟存在时的稳定性。为了处理实际情况,本文认为输入延迟受到时变扰动的干扰。通过这些处理,系统更符合实际应用。仿真实例验证了所提方法的有效性。
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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