Traditional model predictive control is a one-degree-of-freedom controller

so good dynamic response performance of both set-point tracking and disturbance rejection characteristics can’t be achieved simultaneously.An improved model predictive control algorithm based on multi-degree-of-freedom performance index is proposed for the industrial plant to achieve good dynamic response performance of set-point tracking and disturbance rejection and model mismatch.The simulated results are given to demonstrate the effectiveness of the designed controller.