Proposal of Generalized Predictive Control in Consideration of Noise

Abstract

Generalized Predictive Control (GPC) is one of the model-based control methods. The control law is derived through the performance index calculated by sum of squares about the error between reference signal and output prediction and the control input. Although coprime factorization approach has been used in order to extend the control law in the previous researches, there has been a possibility that the order of the derived control law becomes high. Therefore, this paper extends GPC through newly-defined output prediction and proposes the method to re-design the control law or the characteristic from noise to output with keeping the closed-loop transfer function.