Robust predictive control by statistical learning theory

Monte Carlo approach is used in this paper to solve predictive control problem of an uncertain system. Monte Carlo approach uses samples of unknown variables. This approach enables to solve the minimization problem and the mean value computation of the chosen criterion. For nonlinear uncertain systems there is no general analytical method how to solve the optimal control problem and our approach gives solution with prescribed accuracy.