4.7 Article

Resilient Cooperative Control for High-Speed Trains Under Denial-of-Service Attacks

Journal

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 70, Issue 12, Pages 12427-12436

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2021.3120695

Keywords

GSM-R; Communication networks; Safety; Denial-of-service attack; Control systems; Resistance; Force; High-speed trains; resilient control; denial-of-service (DoS) attacks; detection and recovery mechanism

Funding

  1. National Natural Science Foundation of China [61790574, 61773111, 62073171, U1834211]
  2. Science and Technology Project of China National Railway Group Corporation Limited [N2019G020, RK043STP19001]
  3. Natural Science Foundation of Tianjin [20JC-QNJC00390]

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This paper investigates a cooperative control strategy for high-speed trains under DoS attacks through a resilient control scheme. A secure control framework is proposed to restore the communication network and ensure speed and position error constraints during train operation.
The denial-of-service (DoS) attacks injected in the communication network of high-speed trains can block the transmission of information between trains by preventing trains from sending data and interfering with communication network. In order to solve this problem, this paper investigates the cooperative control strategy for high-speed trains subject to DoS attacks through a resilient control scheme. A secure control framework is proposed to restore the communication network of the multi-train system caused by DoS attacks to the initial communication network by proposing an acknowledgment-based attack detection strategy and a recovery mechanism. Then, distributed controllers with considering input saturation are proposed under this framework by applying the Lyapunov theory and low-gain feedback method. In addition, the speed error and position error constraints can be guaranteed during the operating process of trains. Finally, the effectiveness of the proposed resilient control scheme is evaluated by the simulation example.

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