Fixed-Time Resilient Sliding Mode Control of UMVs Subject to FDI Attacks

In this article, we address the problem of robust fixed-time stabilization for unmanned marine vehicles (UMVs) subject to false data injection (FDI) attacks and disturbances. First, an improved fixed-time sliding mode disturbance observer (FTSMDO) is proposed to enhance convergence speed and estimat...

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Bibliographic Details
Published in2024 IEEE 3rd Industrial Electronics Society Annual On-Line Conference (ONCON) pp. 1 - 6
Main Authors Sun, Qing, Hao, Li-Ying, Yang, Xin, Dong, Gege
Format Conference Proceeding
LanguageEnglish
Published IEEE 08.12.2024
Subjects
Convergence
Estimation
false data injection (FDI) attacks
fixed-time stability
Industrial electronics
Marine vehicles
Robustness
Safety
Security
Sliding mode control
Stability analysis
Unmanned marine vehicles (UMVs)
Vehicle dynamics
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DOI10.1109/ONCON62778.2024.10931374

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Summary:In this article, we address the problem of robust fixed-time stabilization for unmanned marine vehicles (UMVs) subject to false data injection (FDI) attacks and disturbances. First, an improved fixed-time sliding mode disturbance observer (FTSMDO) is proposed to enhance convergence speed and estimate external disturbances and attacks. Subsequently, a robust sliding mode control strategy is developed to ensure that system errors converge to a small neighborhood of the origin within a fixed time, even under FDI attacks, demonstrating improved convergence performance compared to existing methods. Finally, simulations demonstrate that the proposed approach effectively achieves stabilization and ensures the safety and robustness of the UMVs.
DOI:10.1109/ONCON62778.2024.10931374