@inproceedings{d2d31bc831e34626951d93f38a4e2bce,
title = "Iterative Learning Control for Nonlinear Systems with Iteration-Varying Trial Lengths Using Modified Reference Trajectories",
abstract = "In this work, a nonlinear uncertain system's iterative learning control (ILC) with randomly varying iteration lengths is discussed. Based on existing adaptive iterative learning control schemes, by using a modified reference trajectory, instead of assuming the identical initial condition, the alignment condition which is widely used in ILC problems can be satisfied when the iteration lengths is not fixed. An illustrative example is presented in the end to demonstrate the convergence of tracking error.",
keywords = "alignment condition, iteration-varying lengths, iterative learning control(ILC), nonlinear uncertain systems",
author = "Xingzheng Wu and Xianming Wang and Wen Qin and Liwei Li and Zhenxing Sun and Mouquan Shen",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021 ; Conference date: 14-05-2021 Through 16-05-2021",
year = "2021",
month = may,
day = "14",
doi = "10.1109/DDCLS52934.2021.9455544",
language = "英语",
series = "Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1161--1165",
editor = "Mingxuan Sun and Huaguang Zhang",
booktitle = "Proceedings of 2021 IEEE 10th Data Driven Control and Learning Systems Conference, DDCLS 2021",
address = "美国",
}