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Matrix-weighted consensus and its applications
- Minh Hoang Trinh;
- Chuong Van Nguyen;
- Lim, Young-Hun;
- Ahn, Hyo-Sung
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139초록
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 Trinh; Chuong Van Nguyen; Lim, Young-Hun; Ahn, Hyo-Sung
- 발행일
- 2018-03
- 유형
- Article
- 저널명
- Automatica
- 권
- 89
- 페이지
- 415 ~ 419