Fitting industrial controller to iterative learning control
拟合迭代学习数据的工业过程控制器

In order to improve the tracking performance of the industrial process system, we fit a robust controller to the information derived from the iterative learning controller. First, the iterative learning algorithm is analyzed in frequency domain by considering the iterative learning controller a cascade controller, and then, a controller is designed to fit the control error and the controlled output, resulting in a realizable controller which is lower in order than the cascade controller. An example is given to illustrate the approach, which shows the advantages of the fitting controller in speed, of none overshoot, with high accuracy and good robustness against disturbances.