Coordinated MFAILC of Multiple High-Speed Trains Subject to False Data Injection Attacks

This study presents a coordinated model free adaptive iterative learning controller (MFAILC) for multiple high-speed trains (MHSTs) subjected to random false data injection attacks (FDIA). Firstly, the nonlinear train system is converted as a linear one that solely relies on input and output (I/O) i...

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Veröffentlicht in:Data Driven Control and Learning Systems Conference (Online) S. 1883 - 1888
Hauptverfasser: Wei, Y., Junjie, M., Huang, Deqing
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 17.05.2024
Schlagworte:
Adaptation models
Coordinated control
Data models
false data injection attacks
Learning systems
Mathematical models
model free adaptive iterative learning control
multiple high-speed trains
Numerical simulation
Random variables
Stability analysis
ISSN:2767-9861
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Zusammenfassung:This study presents a coordinated model free adaptive iterative learning controller (MFAILC) for multiple high-speed trains (MHSTs) subjected to random false data injection attacks (FDIA). Firstly, the nonlinear train system is converted as a linear one that solely relies on input and output (I/O) information of the trains. Subsequently, by establishing an attack model using random variables, the coordinated MFAILC is developed. Furthermore, the convergence analysis is conducted based on mathematical expectation, followed by numerical simulation to verify the validity of the control scheme.
ISSN:2767-9861
DOI:10.1109/DDCLS61622.2024.10606635