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Distributed consensus of large-scale multi-agent systems via linear-transformation-based partial stability approach

This paper investigates the consensus problem of large-scale multi-agent systems (MASs) with a directed communication topology, especially for the MAS whose topology contains small strongly connected components. A sufficient and necessary consensus criterion is proposed through the combination of tw...

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Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2017-01, Vol.222, p.54-61
Main Authors: Qu, Xiaojun, Chen, Yangzhou, Aleksandrov, A. Yu, Dai, Guiping
Format: Article
Language:English
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Summary:This paper investigates the consensus problem of large-scale multi-agent systems (MASs) with a directed communication topology, especially for the MAS whose topology contains small strongly connected components. A sufficient and necessary consensus criterion is proposed through the combination of two methods. Firstly, a communication searching algorithm is utilized to make sure that each agent obtains the local topology information of strongly connected component where it is located. Secondly, a state-linear-transformation decomposes the consensus problem into a group of stability problems based on the strongly connected components. The corresponding consensus criterion reduces the computational complexity. Moreover, according to the consensus criterion, a distributed design procedure of gain matrices is proposed based on the homotopy method.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2016.10.011