Model predictive control and identification: a linear state space model approach

In this paper a linear state space model predictive control algorithm is applied to a thermo-mechanical pulping refiner. The paper shows that input and output constraints can be incorporated into the state space model based control algorithm. The properties of the model predictive control (MPC) algorithm as well as comparisons with other MPC algorithms have been presented earlier by the author. A short review of the predictive control algorithm which is extended to handle constraints, is presented in this paper.