Group consensus in uncertain networked Euler-Lagrange systems with acyclic interaction topology

被引：0
|
作者：
Liu, Jun [1 ,2 ]
Xiang, Lan [3 ]
Zhao, Liyun [1 ,4 ]
Zhou, Jin [1 ]
机构：
[1] Shanghai Univ, Shanghai Inst Appl Math & Mech, Shanghai 200072, Peoples R China
[2] Jining Univ, Dept Math, Qufu 273155, Shandong, Peoples R China
[3] Shanghai Univ, Sch Sci, Dept Phys, Shanghai 200444, Peoples R China
[4] Inner Mongolia Univ Sci & Technol, Sch Math Phys & Biol Engn, Baotou 014010, Peoples R China
来源：
2015 34TH CHINESE CONTROL CONFERENCE (CCC) | 2015年
关键词：
group consensus; networked Euler-Lagrange systems; dynamic uncertainties; adaptive control; input-to-state stable; MULTIAGENT SYSTEMS; CLUSTER SYNCHRONIZATION; INERTIAL AGENTS; PINNING CONTROL; FLOCKING; GRAPHS;
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 investigate the group consensus problems of networked Euler-Lagrange systems with parametric uncertainties under directed acyclic interaction topology. We propose an adaptive group consensus protocol for such networks with two acyclic partition. By thoroughly exploiting the specific structure of acyclic interaction topology, we provide a convergence analysis procedure for the proposed group consensus protocol, and then present a necessary and sufficient condition for solving group consensus problems of uncertain networked Euler-Lagrange systems. Subsequently, numerical examples illustrate and visualize the effectiveness of the theoretical results.
引用
收藏
页码：835 / 840
页数：6
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