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Finding complete minimum driver node set with guaranteed control capacity

delete2022-08-01
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PRE
AI
J
Jia, Shuai
Y
Yugeng Xi *
李德伟 (Dewei Li)
H
Haibin Shao
DOI:10.1016/j.neucom.2022.05.095delete
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Abstract

Abstract

En 中文
A critical prerequisite for controlling complex networks is to find a driver node set with a structural controllability guarantee. This paper introduces the control capacity for a driver node set and solves the problem of finding a complete minimum driver node set that not only guarantees network structural controllability but achieves the desired level of control capacity. A novel algorithmic framework is proposed which is based on the concept of equivalent set and approximate matching replacement technique. The proposed algorithmic framework is shown to outperform the state-of-the-art approaches in the literature. The validity of the proposed algorithm is analyzed and the performance is evaluated by experiments on artificial and real-world complex networks. (c) 2022 Elsevier B.V. All rights reserved.
Keywords:
Structural controllability
Control capacity
Driver node set
Maximum matching
Complex networks

Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
Papers:
2.5W
Citations:
6.5W

Organization

S
shanghai jiao tong university
Scholars:
15.5W
Papers: 11.6W
Citations: 159