@inproceedings{28c5b016a9e54ab29578c227e7f42775,
title = "A modified Q-filter model-inverse based ILC and its application on PMLSM",
abstract = "Iterative learning control (ILC) is essential for the achievement of high servo performance for linear motors. This paper investigates a modified Q-filter model-inversion based ILC. Compared to existing model-inversion based ILC algorithms, two distinct features make the modified algorithm appealing: 1) The tradeoff that must be made by the traditional Q-filter model-inversion based ILC between robustness and converged error is removed. 2) The robustness to uncertainties is enhanced without the deterioration of asymptotic. The effectiveness and superiority of the proposed Q-filter are illustrated by both theoretical analysis and experimental results.",
keywords = "Iterative learning control, Linear motor, Model-inverse iterative learning control, Wafer stage",
author = "Jun Cao and Yang Liu and Li Li and Xiuyan Peng",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 7th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2018 ; Conference date: 25-05-2018 Through 27-05-2018",
year = "2018",
month = oct,
day = "30",
doi = "10.1109/DDCLS.2018.8516034",
language = "英语",
series = "Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1112--1117",
booktitle = "Proceedings of 2018 IEEE 7th Data Driven Control and Learning Systems Conference, DDCLS 2018",
address = "美国",
}