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Mathematical Problems in Engineering
Volume 2015, Article ID 826409, 7 pages
Research Article

High-Order Feedback Iterative Learning Control Algorithm with Forgetting Factor

Department of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Received 26 July 2015; Revised 15 September 2015; Accepted 16 September 2015

Academic Editor: Reza Jazar

Copyright © 2015 Hongbin Wang et al. 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.


A novel iterative learning control (ILC) algorithm is proposed to produce output curves that pass close to the desired trajectory. The key advantage of the proposed algorithm is introducing forgetting factor, which is a function of the number of iterations. Due to the forgetting factor characteristic of ILC, the proposed scheme not only stabilizes the nonlinear system with uncertainties but also weakens interference on the tracking desired trajectory. Simulation examples are included to demonstrate feasibility and effectiveness of the proposed algorithm.