Model Predictive Control of a Class of Plants Subject to Random Disturbance

Abstract

In this paper, an optimal model predictive control (MPC) method is proposed for a class of high order plants which are modeled by first-order linear systems with time-delay. First, the mathematical model of the plant is described by the CARIMA model. Secondly, based on the state space model the optimal MPC is obtained incorporated with Kalman predictor/filter to get the present and future estimates of the state. Finally, a simulation example is given for comparing our method with the generalized predictive control method.