@inproceedings{d900622208ea4da2a164f243ba1a02d1,
title = "Frequency-domain Modeling-free Learning Control for Wafer Stages with Transient Improvement by Adaption",
abstract = "Precise patterns exposed by the most complicated machine called lithography in high-performance integrated circuits cannot be done without the capability of precise position. Due to the repetitive work demand, a method of FRF(frequency response function)-based modeling-free iterative learning control has been proposed for nanoscaled tracking of wafer stages with high dynamics and external disturbances. The proposed method is aimed at leaving out the modeling process to avoid modeling error and additional expenditure with no need for complex matrix calculation. In an attempt to deal with the adverse effects of iteration transient and random disturbances, an adaptive parameter is designed.",
keywords = "FRF(frequency response function)-based modeling-free control, Wafer stage, adaptive parameter, iterative learning control, transient problem",
author = "Pengyu Sun and Fazhi Song and Yang Liu and Jiubin Tan",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; 8th International Workshop on Advanced Patterning Solutions, IWAPS 2024 ; Conference date: 15-10-2024 Through 16-10-2024",
year = "2024",
doi = "10.1117/12.3053096",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Yayi Wei and Tianchun Ye",
booktitle = "Eighth International Workshop on Advanced Patterning Solutions, IWAPS 2024",
address = "美国",
}