OAK

Matrix-weighted consensus and its applications

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Author(s)
Minh Hoang TrinhChuong Van NguyenLim, Young-HunAhn, Hyo-Sung
Type
Article
Citation
Automatica, v.89, pp.415 - 419
Issued Date
2018-03
Abstract
This paper proposes the matrix-weighted consensus algorithm, which is a generalization of the consensus algorithm. Given a networked dynamical system where the interconnections between agents are weighted by nonnegative definite matrices, it is shown that consensus and clustering phenomena naturally exist. We examine algebraic and algebraic graph conditions for achieving a consensus. (C) 2017 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
ISSN
0005-1098
DOI
10.1016/j.automatica.2017.12.024
URI
https://scholar.gist.ac.kr/handle/local/13377
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