Event-Triggered Average Consensus on Matrix-Weighted Networks

被引：2
|
作者：
Liu, Kaien [1 ]
Ji, Zhijian [2 ]
机构：
[1] Qingdao Univ, Coll Math & Stat, Qingdao 266071, Peoples R China
[2] Qingdao Univ, Coll Automat, Qingdao 266071, Peoples R China
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2024年 / 71卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Symmetric matrices; Multi-agent systems; Laplace equations; Behavioral sciences; Null space; Lyapunov methods; Trajectory; Consensus; multi-agent systems; event-triggered control; matrix-weighted networks;
D O I：
10.1109/TCSII.2023.3289259
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Consensus of multi-agent systems is investigated. To characterize interdependencies among multi-dimensional states of neighboring agents, matrix-weighted networks are utilized. Event-triggered mechanism is proposed. By introducing positive functions into the thresholds, Zeno behavior is excluded. Moreover, theoretical analysis shows that these functions can affect the consensus convergence speed. Necessary and sufficient conditions for achieving average consensus are given. Both algebraic and topological conditions are discussed. Finally, theoretical results are verified by numerical simulation.
引用
收藏
页码：677 / 681
页数：5
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