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Group consensus for heterogeneous multi-agent systems with parametric uncertainties.

Authors :
Hong-xiang Hu
Wenwu Yu
Qi Xuan
Chun-guo Zhang
Guangming Xie
Source :
Neurocomputing. Oct2014, Vol. 142, p383-392. 10p.
Publication Year :
2014

Abstract

In this paper, a group consensus problem is investigated for the heterogeneous agents that are governed by the Euler-Lagrange system and the double-integrator system, respectively, and the parameters of the Euler-Lagrange system are uncertain. To achieve group consensus, a novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed. By combining algebraic graph theory with the Barbalat lemma, several effective sufficient conditions are obtained. It is found that the time-delay group consensus can be achieved provided that the inner coupling matrices are equal in the different sub-networks. Besides, the switching topologies between homogeneous agents are also considered, with the help of the Barbalat-like lemma, and some relevant results are also obtained. Finally, these theoretical results are demonstrated by the numerical simulations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09252312
Volume :
142
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
97082844
Full Text :
https://doi.org/10.1016/j.neucom.2014.04.021