Distributed Optimization for Uncertain Linear Multi-agent Systems by Integral Control

被引：0
|
作者：
Tang, Yutao [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Artificial Intelligence, Beijing 100876, Peoples R China
来源：
2020 IEEE 16TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION (ICCA) | 2020年
基金：
中国国家自然科学基金;
关键词：
CONVEX-OPTIMIZATION; AVERAGE CONSENSUS; COORDINATION; ALGORITHM;
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, we consider a distributed optimization problem for a group of linear high-order multi-agent systems. All agents are allowed to possess parametric uncertainties that range over an arbitrarily large compact set. The goal is to collectively minimize a sum of local costs in a distributed fashion and finally guarantee an output consensus on this optimal point using only output information of agents. By adding an optimal signal generator to generate the global optimal point, a distributed integral control is constructively given to solve this problem under mild assumptions. The efficacy of this control is verified by a numerical example.
引用
收藏
页码：546 / 551
页数：6
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