Distributed Event-Triggered Optimization for Multi-Agent Systems with Disturbance Rejection

被引：0
作者：
Deng, Zhenhua [1 ]
Hong, Yiguang [1 ]
机构：
[1] Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
来源：
2016 12TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA) | 2016年
关键词：
distributed optimization; disturbance rejection; event-triggered control; internal model; multi-agent system; OUTPUT REGULATION; ALGORITHMS;
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, distributed optimization problem is investigated for continuous-time multi-agent systems with external disturbance and discrete-time communication. A distributed optimization algorithm with an event-triggered strategy is designed, in order to reduce the communication cost. The proposed internal-model-based algorithm is proved to be effective and free of Zeno behavior with exponential convergence rate. Moreover, numerical simulation results also verify its effectiveness.
引用
收藏
页码：13 / 18
页数：6
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