Table of Contents
ISRN Applied Mathematics
Volume 2014 (2014), Article ID 816860, 6 pages
http://dx.doi.org/10.1155/2014/816860
Research Article

A Design of Parameter Optimal Iterative Learning Control for Linear Discrete-Time Systems

Department of Electrical and Electronic Systems Engineering, Osaka Institute of Technology, 5-16-1 Omiya, Asahi-ku, Osaka 535-8585, Japan

Received 9 October 2013; Accepted 5 December 2013; Published 28 January 2014

Academic Editors: S. Biringen, F. Ding, M. Sun, and X.-G. Yan

Copyright © 2014 Wataru Kase. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The iterative learning control algorithm proposed by Owens and Feng, which guarantees the monotonic convergence of the tracking error norms along with the trial, will be modified. The learning gain of the proposed method will be determined through a quadratic cost function. MIMO plant case will be also discussed. Numerical simulations will be presented to confirm the validity of the proposed design.