Adaptive bipartite consensus of multi-agent systems with high-order dynamics and antagonistic interactions

被引：0
|
作者：
Wu Yanzhi [1 ]
Hu Jiangping [1 ]
Zhao Yiyi [2 ]
Zhang Yuping [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Peoples R China
[2] Southwestern Univ Finance & Econ, Sch Business Adm, Chengdu 611130, Peoples R China
来源：
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Bipartite consensus; coopetition network; adaptive control; high-order dynamics; unknown disturbances; NETWORKS;
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 bipartite consensus problem is formulated for a multi-agent system with antagonistic interactions and high-order dynamics suffering from unknown disturbances. With the help of linearly parameterized models describing the unknown disturbances, decentralized adaptive estimators are designed to estimate the unknown parameters in the disturbances. Then, a distributed consensus control is developed for each agent to guarantee the bipartite consensus for the group. Furthermore, the convergence of the parameter estimate errors and the bipartite consensus is analyzed by using a Lyapunov function method. Finally, some simulation results are presented to demonstrate the form of the bipartite consensus on the coopetition network.
引用
收藏
页码：7808 / 7813
页数：6
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