@inproceedings{cc01c11eaa7641b08ce1381e0813bc5a,
title = "A time-varying iterative learning control scheme",
abstract = "This paper presents an Iterative Learning Control scheme that uses a time-varying Q-filter. The purpose of the time-varying Q-filter is to utilize the enhanced robustness given by a low bandwidth filter, while taking advantage of the superior performance properties of a high bandwidth Q-filter where needed. Simulations are provided to demonstrate the benefits of the proposed scheme. In addition, stability and convergence issues involved with using a time-varying filter are investigated. Finally the ILC algorithm developed here is implemented on a Microscale Robotic Deposition (μRD) system to provide experimental verification.",
keywords = "Convergence, Iterative learning control, Robustness, Stability, Time varying control",
author = "Marina Tharayil and Andrew Alleyne",
year = "2004",
doi = "10.1109/ACC.2004.182876",
language = "English (US)",
isbn = "0780383354",
series = "Proceedings of the American Control Conference",
pages = "3782--3787",
booktitle = "Proceedings of the 2004 American Control Conference (AAC)",
note = "Proceedings of the 2004 American Control Conference (AAC) ; Conference date: 30-06-2004 Through 02-07-2004",
}