Paper Info
Title
Distributed consensus of large-scale multi-agent systems via linear-transformation-based partial stability approach.
Abstract
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.
Year
DOI
Venue
2017
10.1016/j.neucom.2016.10.011
Neurocomputing
Keywords
Field
DocType
00-01,99-00
Consensus,Mathematical optimization,Search algorithm,Matrix (mathematics),Multi-agent system,Linear map,Uniform consensus,Strongly connected component,Mathematics,Computational complexity theory
Journal
Volume
Issue
ISSN
222
C
0925-2312
Citations 
PageRank 
References 
0
0.34
11
Authors
4
Name
Order
Citations
PageRank
Xiaojun Qu100.34
Yangzhou Chen28017.17
A. Yu. Aleksandrov3518.42
Guiping Dai4173.55