Adaptive event-triggered path tracking control for self-driving vehicles against denial-of-service attacks

This paper focuses on the secure path tracking control of wireless self-driving vehicles (SDVs). To address challenges network security and limited bandwidth in design SDVs, a co-modeling approach considering denial-of-service (DoS) attack event trigger mechanism (ETM) is introduced for SDVs. achieve high level performance, threshold proposed adaptive ETM designed to adjust dynamically based state information resulting better performance. Additionally, novel distributed strategy developed SDVs using leader-following approach, parameters controllers ETMs are obtained meet performance requirements ensure effective communication through use Lyapunov stability theory linear matrix inequality (LMI) techniques. The method verified numerical simulation subjected DoS attacks, demonstrating its effectiveness.