Discrete iterative learning controller

Abstract

An effective discrete learning control method is proposed for improving the tracking performance of linear systems repeating the task from cycle to cycle. With this method, the current cycle data are intentionally introduced into the learning control law. Analysis of the convergence is conducted completely in the discrete-time domain. The fast convergence performance is further substantiated by simulation results.