Adaptive flocking of heterogeneous multi-agents systems with nonlinear dynamics

被引：12
|
作者：
Zhang, Qing [1 ]
Hao, Yaru [1 ]
Yang, Zhengquan [1 ]
Chen, Zengqiang [1 ,2 ]
机构：
[1] Civil Aviat Univ China, Coll Sci, 2898 Jinbei Rd, Tianjin 300300, Peoples R China
[2] Nankai Univ, Dept Automat, Tianjin 300071, Peoples R China
来源：
NEUROCOMPUTING | 2016年 / 216卷
基金：
中国国家自然科学基金;
关键词：
Flocking; Adaptive flocking; Heterogeneous multi-agents; Nonlinear dynamic; Adaptive control; CONSENSUS; LEADER;
D O I：
10.1016/j.neucom.2016.06.064
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates the flocking problem for a set of heterogeneous multi-agent systems which is composed of two kinds of agents differed by their dynamics. Under some assumptions, an adaptive controllers and update laws are designed for the heterogeneous multi-agents. Then, it is proved that the velocities of each agent come to be the same asymptotically and collision avoidance between the agents is ensured. A simulation example is finally provided to illustrate the effectiveness of the proposed scheme. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：72 / 77
页数：6
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