Distributed constrained optimal consensus of multi-agent systems

被引：197
|
作者：
Qiu, Zhirong [1 ]
Liu, Shuai [1 ,2 ]
Xie, Lihua [1 ]
机构：
[1] Nanyang Technol Univ, Sch EEE, Singapore 639798, Singapore
[2] Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Peoples R China
来源：
AUTOMATICA | 2016年 / 68卷
基金：
中国国家自然科学基金; 新加坡国家研究基金会;
关键词：
Multi-agent systems; Optimal consensus; Set constraint; Convex analysis; Non-smooth analysis; OPTIMIZATION;
D O I：
10.1016/j.automatica.2016.01.055
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We study a distributed optimal consensus problem of continuous-time multi-agent systems with a common state set constraint. Each agent is assigned with an individual cost function which is coercive and convex. A distributed control protocol is to be designed to guarantee a consensus, and in the meanwhile reach the minimizer of the aggregate cost functions within the constraint set. Three terms are included in the protocol: local averaging, local projection, and local subgradient with a diminishing but persistent gain. It is shown that the constrained optimal consensus can be achieved under a uniformly jointly connected communication network with bounded time-varying edge weights. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：209 / 215
页数：7
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