Fixed-time Distributed Optimization for Multi-Agent Systems Using an Event-Triggered Communication Scheme

被引：0
|
作者：
Jin, Keke [1 ]
Lu, Qiang [1 ]
Yin, Ke [1 ]
机构：
[1] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Peoples R China
来源：
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年
基金：
中国国家自然科学基金;
关键词：
event-triggered communication scheme; fixed-time; distributed optimization; multi-agent systems; CONVEX-OPTIMIZATION; CONSENSUS; NETWORKS; TRACKING;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a problem of distributed optimization is investigated for multi-agent systems. The event-triggered communication scheme and fixed-time control method are used. First, for the aim of reducing the consumption of hardware resources and improving the conununication efficiency of multi-agent systems, an event-triggered communication scheme is proposed. The scheme only depends on the states of each agent and its neighbors. Second, the convergence of fixed-time distributed optimization algorithm using event-triggered communication scheme is proved by Lyapunov theory. At last, the proposed approach is verified by simulation. The results are given and clearly show the effectiveness of the fixed-time distributed optimization algorithm using the event-triggered communication scheme for multi-agent systems.
引用
收藏
页码：5080 / 5085
页数：6
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