Group Information Based Nonlinear Consensus for Multi-Agent Systems

被引：7

作者：

Hou, Jian ^{[1
]}

Xiang, Mengfan ^{[1
]}

Ding, Zuohua ^{[1
]}

机构：

[1] Zhejiang Sci Tech Univ, Sch Informat Sci & Technol, Hangzhou 310018, Zhejiang, Peoples R China

来源：

IEEE ACCESS | 2019年 / 7卷

基金：

中国国家自然科学基金;

关键词：

Consensus; multi-agent systems; hierarchical structure; nonlinear consensus; ALGORITHM;

D O I：

10.1109/ACCESS.2019.2897600

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 continues our previous hierarchical consensus work by considering a nonlinear case. All agents are partitioned into a set of groups, each of which contains a value called group information, representing a convex combination of all agents' states inside. The control input for each agent consists of two parts, i.e., agent state inside its associated group and its group information. When the received group information is a nonlinear transformation, it is shown that the consensus can be achieved under the proposed scheme in both discrete time and continuous time. Finally, the numerical simulations are performed to validate the theoretical results.

引用

页码：26551 / 26557

页数：7

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