Structural Controllability of Multiplex Networks With the Minimum Number of Driver Nodes

IF 5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Control of Network Systems Pub Date : 2024-03-04 DOI:10.1109/TCNS.2024.3372712
Xiang Li;Guoqi Li;Leitao Gao;Lock Yue Chew;Gaoxi Xiao
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Abstract

In this article, we focus on the problem of structural controllability of multiplex networks. By proposing a graph-theoretic framework, we address the problem of identifying the minimum set of driver nodes to ensure the structural controllability of multiplex networks, where the driver nodes can only be located in a single layer. We rigorously prove that the problem is essentially a minimum-cost flow problem and devise an algorithm termed “minimum-cost flow-based driver-node identification,” which can achieve the optimal solution with polynomial time complexity. Extensive simulations on synthetic and real-life multiplex networks demonstrate the validity and efficiency of the proposed algorithm.
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具有最少驱动节点数的多路复用网络的结构可控性
本文主要研究多路复用网络的结构可控性问题。通过提出一个图论框架,我们解决了识别最小驱动节点集的问题,以确保多路网络的结构可控性,其中驱动节点只能位于单层中。我们严格证明了该问题本质上是一个最小代价流问题,并设计了一种称为“基于最小代价流的驱动节点识别”的算法,该算法可以以多项式的时间复杂度获得最优解。在合成和现实多路复用网络上的大量仿真验证了该算法的有效性和高效性。
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来源期刊
IEEE Transactions on Control of Network Systems
IEEE Transactions on Control of Network Systems Mathematics-Control and Optimization
CiteScore
7.80
自引率
7.10%
发文量
169
期刊介绍: The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.
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