Matrix-weighted consensus and its applications

Citations

WEB OF SCIENCE

118
Citations

SCOPUS

139

초록

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.

제목
Matrix-weighted consensus and its applications
저자
Minh Hoang TrinhChuong Van NguyenLim, Young-HunAhn, Hyo-Sung
DOI
10.1016/j.automatica.2017.12.024
발행일
2018-03
유형
Article
저널명
Automatica
89
페이지
415 ~ 419