On Topology Optimization for Event-Triggered Consensus With Triggered Events Reducing and Convergence Rate Improving

被引：11

作者：

Chen, Xinzhuang ^{[1
,2
]}

Gao, Shanshan ^{[3
]}

Zhang, Shenggui ^{[1
,2
]}

Zhao, Yu ^{[4
]}

机构：

[1] Northwestern Polytech Univ, Sch Math & Stat, Xian 710129, Shaanxi, Peoples R China

[2] Northwestern Polytech Univ, Xian Budapest Joint Res Ctr Combinator, Xian 710129, Shaanxi, Peoples R China

[3] Northwestern Polytech Univ, Unmanned Syst Res Inst, Xian 710072, Shaanxi, Peoples R China

[4] Northwestern Polytech Univ, Sch Automat, Xian 710129, Shaanxi, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2022年 / 69卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Network topology; Laplace equations; Convergence; Communication networks; Eigenvalues and eigenfunctions; Topology; Optimization; Topology optimization; multi-agent systems; event-triggered consensus; Laplacian eigenvalues; LINEAR MULTIAGENT SYSTEMS; ALGEBRAIC CONNECTIVITY; DISTRIBUTED ESTIMATION; SYNCHRONIZATION; NETWORKS; TRACKING; AGENTS;

D O I：

10.1109/TCSII.2021.3098746

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：

This brief considers the network topology optimization problem for event-triggered consensus of multi-agent systems (MASs) to reduce the triggered events and improve the convergence rate. For a MAS with an undirected graph as its communication network, edge swapping operations are applied to optimize its network topology, which keep the number of links incident to each agent unchanged. Based on the theory of graph spectra, a necessary condition is provided to determine an effective edge swapping operation which leads to less event triggered times and faster convergence rate. An iterative algorithm is developed to optimize the network topology for MASs under the first-order event-triggered consensus protocol. Finally, some numerical simulations are given to illustrate the effectiveness of the approach.

引用

页码：1223 / 1227

页数：5

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