A Novel Robust Tuning Strategy for Model Predictive Control

A novel and easy-to-use robust tuning strategy for model predictive control (MPC) is presented. The proposed strategy based on min-max algorithm can deal with model uncertainty explicitly; it could design an MPC controller with strong robustness and small overshooting, owing to the performance index employed in the strategy. Another contribution of the performance index is to avoid large prediction horizon and control horizon being selected to MPC controllers, which can reduce the MPC online computation. The superiority of the proposed robust tuning strategy has been demonstrated by simulation results