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Memory-based event-triggered fuzzy path tracking security control for autonomous vehicles against stochastic false data injection attacks
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DOI：10.1016/j.isatra.2026.05.002.png)
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Abstract
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• An interval type-2 Takagi-Sugeno fuzzy model is employed to depict vehicle dynamics. • The estimation issue of lateral speed in vehicle model is solved by a fuzzy observer. • A memory-based event-triggered mechanism is proposed to alleviate network burden. • An observer-based fuzzy security controller is developed to mitigate FDI attacks.
Keywords:
interval type-2 fuzzy model
lateral speed estimation
memory-based event-triggered mechanism
fuzzy observer
false data injection attacks
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