Model Validation for Control and Controller Validation in a Prediction error Identification Framework - Part II: illustrations

Abstract

The results on model validation for control and controller validation in a prediction error identification framework are illustrated. The results are illustrated with two realistic identification and control design applications. The first is the control of a flexible mechanical system with a tracking objective and the second is the control of a ferrosilicon production process with a disturbance rejection objective. Show more