Resilient Coordinated Data-Driven Control of Multiple High-Speed Trains Under Fading Measurements and Denial-of-Service Attacks

被引:11
作者
Yu, Wei [1 ,2 ]
Huang, Deqing [1 ,2 ]
Qin, Na [1 ,2 ]
机构
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
[2] Southwest Jiaotong Univ, Key Lab Railway Ind Adv Energy Tract & Comprehens, Chengdu 610031, Peoples R China
基金
中国国家自然科学基金;
关键词
Topology; Fading channels; Switches; Vehicle dynamics; Network topology; Resistance; Rail transportation; Coordinated control; model free adaptive control; multiple high-speed trains; fading measurement; DoS attacks; SYSTEMS; OPERATION;
D O I
10.1109/TVT.2022.3231712
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The paper investigates the resilient coordinated model free adaptive control (MFAC) problem of multiple high-speed trains (MHSTs) subject to fading measurements and denial-of-service (DoS) attacks, which belongs to a data-driven approach. Firstly, the dynamic model of MHSTs with unknown nonlinear dynamics is linearized into a data-dependent one. Secondly, the faded channels are formulated by the Rice fading model with known statistical property, and the attack strategies are assumed to obey the Bernoulli distributions. Then, the distributed MFAC method is proposed for MHSTs with fixed topology, and the analysis is carried out by using the graph theory. Furthermore, the research is extended to the design of the compensation scheme for fading data and to the MHSTs with time-varying topologies. Finally, the effectiveness of the data-driven controller is studied by a numerical simulation.
引用
收藏
页码:5690 / 5701
页数:12
相关论文
共 45 条
[21]   Sawtooth-Characteristic-Based Resilient Control Design for Wireless Networked Control Systems Under Denial-of-Service Attacks [J].
Zhang, Ying ;
Shangguan, Xing-Chen ;
He, Yong ;
Wei, Chen-Guang ;
Zhang, Chuan-Ke .
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2025, 22 :8912-8924
[22]   Resilient Event-Triggered Control for Networked Cascade Control Systems Under Denial-of-Service Attacks and Actuator Saturation [J].
Zhao, Ning ;
Shi, Peng ;
Xing, Wen ;
Agarwal, Ramesh K. .
IEEE SYSTEMS JOURNAL, 2022, 16 (01) :1114-1122
[23]   Periodic Event-Triggered Resilient Control for Multiarea Interconnected Power Systems under Denial-of-Service Attacks [J].
Gao, Qiang ;
Du, Ziyu ;
Song, Yu ;
Ji, Yuehui .
PROCEEDINGS OF 2022 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2022), 2022, :1714-1718
[24]   Data-driven model-free adaptive fault tolerant control for high-speed trains [J].
Wang H. ;
Liu G.-F. ;
Hou Z.-S. .
Kongzhi yu Juece/Control and Decision, 2022, 37 (05) :1127-1136
[25]   Event-Triggering Communication Based Distributed Coordinated Control of Multiple High-Speed Trains [J].
Bai, Weiqi ;
Dong, Hairong ;
Lu, Jinhu ;
Li, Yidong .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (09) :8556-8566
[26]   H ∞ predictive control for 2-D Roesser model under multiple denial-of-service attacks [J].
Zhang, Guangchen ;
Han, Gao ;
Xia, Yuanqing ;
He, Shuping ;
Yang, Lufeng .
INFORMATION SCIENCES, 2025, 694
[27]   Data-Driven-Based Event-Triggered Resilient Control for Cigarette Weight Control System Under Denial of Service Attacks and False Data Injection Attacks [J].
Ye, Guoqian ;
Shen, Lixiang ;
Feng, Yi ;
Fan, Lifeng ;
Zhang, Chi ;
Li, Yuliang .
IEEE ACCESS, 2024, 12 :53633-53645
[28]   Data-Based Security Fault Tolerant Iterative Learning Control under Denial-of-Service Attacks [J].
Li, Zengwei ;
Zhou, Changren ;
Che, Weiwei ;
Deng, Chao ;
Jin, Xiaozheng .
ACTUATORS, 2022, 11 (07)
[29]   Faded Communication-Based Coordinated Model-Free Adaptive Iterative Learning Control of Multiple HSTs Against Denial-of-Service Attacks [J].
Yu, Wei ;
Huang, Deqing ;
Dong, Hairong .
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 21 (04) :6602-6614
[30]   Finite-Time Distributed Adaptive Coordinated Control for Multiple Traction Units of High-Speed Trains [J].
Wang, Di ;
Su, Shuai ;
Han, Liange ;
Li, Danyong .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (08) :8499-8513