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IEEE/CAA Journal of Automatica Sinica

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S. Zhan, X. Li, Y. Zou, and S. Li, “Dynamic event-triggered mechanisms with positive minimum inter-event times for linear multiagent consensus on directed graphs,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 2, pp. 1–15, Feb. 2026. doi: 10.1109/JAS.2025.125822
Citation: S. Zhan, X. Li, Y. Zou, and S. Li, “Dynamic event-triggered mechanisms with positive minimum inter-event times for linear multiagent consensus on directed graphs,” IEEE/CAA J. Autom. Sinica, vol. 13, no. 2, pp. 1–15, Feb. 2026. doi: 10.1109/JAS.2025.125822

Dynamic Event-Triggered Mechanisms With Positive Minimum Inter-Event Times for Linear Multiagent Consensus on Directed Graphs

doi: 10.1109/JAS.2025.125822
Funds:  This work was supported in part by the Natural Science Foundation of China (62273227, 92367203) and the Open Research Project of the State Key Laboratory of Industrial Control Technology, China (ICT2024B68)
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  • This article studies the consensus problem with directed graphs for general linear multi-agent systems. New distributed state-feedback protocols with dynamic event-triggered (DET) mechanisms are proposed for directed graphs that are strongly connected and weight-balanced, general strongly connected, and have spanning trees, respectively. It is proven that strictly positive minimum inter-event times (MIETs) are ensured using the designed DET mechanisms. Several numerical examples are presented to illustrate the effectiveness of the theoretical results. Compared with existing results, our results have the following merits: 1) DET mechanisms are designed to determine the sampling instants, which can reduce the communication frequency between agents compared with static mechanisms; 2) We focus on the consensus problem on directed graphs, which is more general than existing related results on undirected graphs; 3) The existence of positive MIETs is shown to be guaranteed by the designed DET sampling strategies while existing related results can only exclude Zeno behavior.

     

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  • 1 The corresponding SET mechanism is the same as the DET one but with the dynamic variables being fixed to be zero.
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