Distributed Optimization of Nonlinear Multi-agent Systems with Disturbance Rejection

被引：1
|
作者：
Zhou, Xueqian [1 ]
Su, Youfeng [1 ]
机构：
[1] Fuzhou Univ, Coll Math & Comp Sci, Fuzhou, Peoples R China
来源：
2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年
关键词：
Distributed optimization; internal model; disturbance rejection; multi-agent systems; CONVEX-OPTIMIZATION; ALGORITHMS;
D O I：
10.1109/CAC51589.2020.9326593
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper considers the distributed optimization problem based on nonlinear multi-agent systems with the unity relative degree, where the agent plant is subject to external disturbances generated by the nonlinear exosystem. A distributed nonlinear internal model is established for construct a distributed optimization controller. It is shown that the consensus can be reached and the disturbance can be rejected simultaneously. A simulation is provided to validate the theoretical results.
引用
收藏
页码：5387 / 5391
页数：5
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