未知互连马尔可夫跳互联系统的邻接模式相关动态事件触发控制

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Robust and Nonlinear Control Pub Date : 2024-12-13 DOI:10.1002/rnc.7766
Li-Wei Li, Huifang Lv, Jie Shen, Mouquan Shen
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引用次数: 0

摘要

研究了具有未知连接的马尔可夫跳变系统的邻接模相关事件触发控制方法。为了节省通信资源,降低通信成本,提出了一种依赖于相邻模式信息的动态事件触发方案。然后,基于相邻模相关的动态事件触发方法设计状态反馈控制器,以保证系统的稳定性。与已有的结果不同,该方法不需要访问所有子系统的运行模式。采用周期-小增益判据处理未知互连,从而获得了具有H∞$$ {H}_{\infty } $$性能的闭环系统的一种新的稳定性判据。最后给出了两个仿真结果,验证了所得结果的有效性。
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Neighboring Mode-Dependent Dynamic Event-Triggered Control for Markov Jump Interconnected Systems With Unknown Interconnections

This work is absorbed in the neighboring mode-dependent event-triggered control scheme for Markov jump systems with unknown interconnections. To save communication resources and reduce cost, a dynamic event-triggered scheme relies on neighboring modes information is proposed. Then, the state feedback controllers are designed based on neighboring mode–dependent dynamic event-triggered approach to assure the stability of the system. Distinguished from existing results, the proposed method does not need to access the operation modes of all sub-systems. The cyclic-small-gain criterion is used to tackle the unknown interconnections, thereby a novel stability criteria are obtained for the closed-loop systems with H $$ {H}_{\infty } $$ performance. Finally, two simulation results are given to reveal the validity of the obtained results.

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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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