Neighboring Mode-Dependent Dynamic Event-Triggered Control for Markov Jump Interconnected Systems With Unknown Interconnections

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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Abstract

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 $H_{\infty}$ 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 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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