A Design of Discrete-Time Iterative Learning Control Systems for SISO Plants

Abstract

In this paper, it will be modified an iterative learning control algorithm proposed by Owens and Feng, which guarantees the monotonic convergence of the tracking error norms along with the trial. The learning gain of the proposed method is determined through a quadratic cost function. Numerical simulations will be presented to confirm the validity of the proposed design.