{"title":"具有最少驱动节点数的多路复用网络的结构可控性","authors":"Xiang Li;Guoqi Li;Leitao Gao;Lock Yue Chew;Gaoxi Xiao","doi":"10.1109/TCNS.2024.3372712","DOIUrl":null,"url":null,"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.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"11 4","pages":"2088-2100"},"PeriodicalIF":4.0000,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Structural Controllability of Multiplex Networks With the Minimum Number of Driver Nodes\",\"authors\":\"Xiang Li;Guoqi Li;Leitao Gao;Lock Yue Chew;Gaoxi Xiao\",\"doi\":\"10.1109/TCNS.2024.3372712\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":56023,\"journal\":{\"name\":\"IEEE Transactions on Control of Network Systems\",\"volume\":\"11 4\",\"pages\":\"2088-2100\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Control of Network Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10458257/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control of Network Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10458257/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Structural Controllability of Multiplex Networks With the Minimum Number of Driver Nodes
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.
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.