Robust Control of Stochastic Vehicle Following Systems

Based on the random factors ignoring in vehicle system modeling, the stochastic dynamic model of vehicles is established on the base of Ito stochastic differential equation. The stochastic vehicle longitudinal following robustness control is studied by using sliding mode control. The variable structure robust control law for a class of random longitudinal vehicle following systems is designed on the assumption that parameters are bounded. According to the stability criterion of stochastic vehicle following systems, the stability of the control system is analyzed and the sufficient conditions of the system for convergence are obtained. The simulation results show that the robust control strategy proposed can achieve a satisfactory tracking performance and weaken the control chatter effectively.