Dynamic Event Triggered Adaptive Intelligent Prescribed Performance Control for Vehicle Platoon System Under Switching Topology and FDI Attacks

This article investigates the dynamic event triggered fuzzy adaptive secure control issue for nonlinear vehicle platoon system under stochastic FDI attacks and switching topology. First of all, fuzzy logic systems (FLSs) are utilized to approximate the unknown nonlinear dynamics. By the aid of the prescribed performance functions, the local spacing errors can be constrained within a preset region. By adopting the mathematical expectation method, the stochastic FDI attack signals can be solved. Secondly, under the framework of backstepping control, by constructing the dynamic event-triggering mechanisms, as well as the prescribed-performance technique, a robust intelligent adaptive performance constraint event-triggered secure platoon control algorithm is developed. Via Lyapunov stability theory and Barbalat’s Lemma, the developed control strategy can ensure all signals of the whole platoon system are bounded, and the following vehicles can asymptotically track the leading vehicle. In addition, the individual and string stabilities can also be guaranteed. Finally, the simulations are provided to further validate the feasibility and effectiveness of the proposed control strategy and theory.