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

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 dy...

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Published inIEEE transactions on vehicular technology Vol. 72; no. 5; pp. 5690 - 5701
Main Authors Yu, Wei, Huang, Deqing, Qin, Na
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive control
Coordinated control
Denial of service attacks
DoS attacks
Dynamic models
Fading
Fading channels
fading measurement
Graph theory
High speed rail
model free adaptive control
multiple high-speed trains
Network topology
Nonlinear dynamics
Rail transportation
Resistance
Switches
Topology
Vehicle dynamics
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Abstract 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.
AbstractList 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.
Author Huang, Deqing
Qin, Na
Yu, Wei
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Snippet The paper investigates the resilient coordinated model free adaptive control (MFAC) problem of multiple high-speed trains (MHSTs) subject to fading...
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SubjectTerms Adaptive control
Coordinated control
Denial of service attacks
DoS attacks
Dynamic models
Fading
Fading channels
fading measurement
Graph theory
High speed rail
model free adaptive control
multiple high-speed trains
Network topology
Nonlinear dynamics
Rail transportation
Resistance
Switches
Topology
Vehicle dynamics
Title Resilient Coordinated Data-Driven Control of Multiple High-Speed Trains Under Fading Measurements and Denial-of-Service Attacks
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