Abstract
This paper investigates the feasibility of applying the stochastic robustness method to the evaluation of the robust vehicle control systems. Vehicle motion is modeled by nonlinear dynamics equation containing 10 uncertain parameters. The system robustness is characterized by the probability of instability and probabilities of violation of prescribed performance indexes, subject to the variation of uncertain vehicle parameters. These probabilities are estimated by applying the Monte Carlo method to the results of a large number of simulated vehicle motion. Three nonlinear vehicle control strategies are chosen to demonstrate the use of stochastic method to analyze and compare the robustness of control designs.
