{"title":"Data-Driven Security Consensus Tracking of Multiple High-Speed Trains Under Random Topologies With Data Recovery Mechanism","authors":"Wei Yu;Deqing Huang;Xiao-Lei Wang;Hairong Dong","doi":"10.1109/TCST.2024.3420012","DOIUrl":null,"url":null,"abstract":"Inspired by the challenges in improving train efficiency, this study investigates the consensus tracking of multiple high-speed trains (MHSTs) under random denial-of-service (DoS) attacks. First, a linearization method is used to linearize the nonlinear dynamic model of MHSTs with external running resistance. Second, the strategy of DoS attackers is elaborated on by using random variables obeying Bernoulli distributions. After establishing a data recovery mechanism, a security model-free adaptive control (MFAC) scheme is presented for MHSTs that is fully data-driven and independent of any model information or structural data of train groups. The effectiveness of this approach is theoretically analyzed without requiring accurate system modeling. Finally, the validity of MFAC and the impact of DoS attacks on MHSTs are evaluated through simulations involving G1868 HSTs between Guiyang North and Kaili South.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"32 6","pages":"2298-2309"},"PeriodicalIF":4.9000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control Systems Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10581407/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Inspired by the challenges in improving train efficiency, this study investigates the consensus tracking of multiple high-speed trains (MHSTs) under random denial-of-service (DoS) attacks. First, a linearization method is used to linearize the nonlinear dynamic model of MHSTs with external running resistance. Second, the strategy of DoS attackers is elaborated on by using random variables obeying Bernoulli distributions. After establishing a data recovery mechanism, a security model-free adaptive control (MFAC) scheme is presented for MHSTs that is fully data-driven and independent of any model information or structural data of train groups. The effectiveness of this approach is theoretically analyzed without requiring accurate system modeling. Finally, the validity of MFAC and the impact of DoS attacks on MHSTs are evaluated through simulations involving G1868 HSTs between Guiyang North and Kaili South.
期刊介绍:
The IEEE Transactions on Control Systems Technology publishes high quality technical papers on technological advances in control engineering. The word technology is from the Greek technologia. The modern meaning is a scientific method to achieve a practical purpose. Control Systems Technology includes all aspects of control engineering needed to implement practical control systems, from analysis and design, through simulation and hardware. A primary purpose of the IEEE Transactions on Control Systems Technology is to have an archival publication which will bridge the gap between theory and practice. Papers are published in the IEEE Transactions on Control System Technology which disclose significant new knowledge, exploratory developments, or practical applications in all aspects of technology needed to implement control systems, from analysis and design through simulation, and hardware.