Pole-zero assignment in model predictive control, using analytical tuning approach

This paper proposes a new analytical tuning strategy for Model Predictive Control (MPC). In the proposed approach, MPC tuning problem is restated as a pole-zero placement problem. New analytically tuning equations are given and a deep study on the places of poles and zeros of the closed-loop system is performed. It is known that, appropriate zero placement can improve the robust stability of the closed-loop system, so the proposed tuning strategy can be applicable. In MPC tuning strategies, analytical equations are very interesting and useful. To achieve analytical equations, First Order plus Dead Time models are used in this work. These models with adequate accuracy can describe many industrial processes. With simulation studies, the effectiveness of the proposed pole-zero assignment strategy is indicated.