Adaptive radial basis function sliding mode control for platoons under DoS attacks

This paper proposes an adaptive sliding mode control based on auxiliary distance sensor for nonlinear platoons over vehicular ad-hoc networks under Denial-of-Services (DoS) attacks and external disturbances. DoS can cause packet dropping the wireless network will lead to collision or degradation cruise of platoons. To solve this problem, Radial Basis Function (RBF) method is proposed attacked RBF neural are used approximate unknown part disturbances contained in vehicle models. Then controllers designed achieve goals: spacing error converges zero, platoon maintains string stability. The system's internal stability proved. Numerical examples applied show effectiveness method. Compared with existing method, decreased from 5.0726, 6.4637 0.0264 secure distributed platooning PF topology LPF topology, average increased 7.0580 m, 5.7442 m 11.8498 maintain a safe situation attacks.