DocumentCode :
2241362
Title :
Group consensus in uncertain networked Euler-Lagrange systems with acyclic interaction topology
Author :
Liu, Jun ; Xiang, Lan ; Zhao, Liyun ; Zhou, Jin
Author_Institution :
Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai 200072, P.R. China
fYear :
2015
fDate :
28-30 July 2015
Firstpage :
835
Lastpage :
840
Abstract :
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.
Keywords :
Eigenvalues and eigenfunctions; Matrix decomposition; Multi-agent systems; Network topology; Symmetric matrices; Synchronization; Topology; adaptive control; dynamic uncertainties; group consensus; input-to-state stable; networked Euler-Lagrange systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
Type :
conf
DOI :
10.1109/ChiCC.2015.7259742
Filename :
7259742
Link To Document :
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