Controllability of directed and matrix‐valued weighted networks

Abstract This paper studies the controllability of multi‐agent systems with directed and matrix‐valued weighted networks. Almost equitable partition theory is increasingly being chosen by researchers as a framework for controllability of multi‐agent systems from graph‐theoretic perspective. Based on the matrix‐valued almost equitable partition, we propose a graph‐theoretic characterization of the upper bounds of dimension of controllable subspace. Then, we provide graph‐theoretic necessary conditions for controllability and methods of constructing uncontrollable topologies. Several examples are given to illustrate these results.

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Institutions

Publication Details

Journal
Asian Journal of Control
Published
2025-03-17
DOI
https://doi.org/10.1002/asjc.3618
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.49

Funders

Controls
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article

Controllability of directed and matrix‐valued weighted networks

Xianzhu Liu, Zhijian Ji, Ying Han
1 citations
Asian Journal of Control
Distributed Control Multi-Agent Systems
1.49
article

Controllability of directed and matrix‐valued weighted networks

Xianzhu Liu, Zhijian Ji, Ying Han
article en
1 citations

Abstract

Abstract This paper studies the controllability of multi‐agent systems with directed and matrix‐valued weighted networks. Almost equitable partition theory is increasingly being chosen by researchers as a framework for controllability of multi‐agent systems from graph‐theoretic perspective. Based on the matrix‐valued almost equitable partition, we propose a graph‐theoretic characterization of the upper bounds of dimension of controllable subspace. Then, we provide graph‐theoretic necessary conditions for controllability and methods of constructing uncontrollable topologies. Several examples are given to illustrate these results.

Asian Journal of ControlVol. 27(6)
Qingdao University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 19%
Distributed Control Multi-Agent Systems
1.49
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