@inproceedings{aaff91d2769d43569de94f3f848131b0,
title = "A kalman-filtering based iterative learning control algorithm",
abstract = "A kalman filtering-based stochastic iterative learning control algorithm is proposed in this paper for linear stochastic systems with random noises. A learning gain matrix is designed by minimizing the trace of the mean-square matrix of the input tracking error. Theoretical results show that the proposed algorithm guarantees not only the asymptotic but also monotonic convergence of the input tracking error in the mean-square error sense under some basic probabilistic noise assumptions. Finally, a numerical example is included to illustrate the effectiveness of the proposed algorithms.",
keywords = "Asymptotic convergence, Iterative learning control, Kalman-filter, Monotonic convergence, Stochastic noise",
author = "Liu Yang and Li Li and Song Fazhi and Tan Jiubin",
note = "Publisher Copyright: {\textcopyright} 2019 European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 19th International Conference and Exhibition, EUSPEN 2019. All rights reserved.; 19th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2019 ; Conference date: 03-06-2019 Through 07-06-2019",
year = "2019",
language = "英语",
series = "European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 19th International Conference and Exhibition, EUSPEN 2019",
publisher = "euspen",
pages = "596--599",
editor = "Leach, \{Richard K.\} and D. Billington and C. Nisbet and D. Phillips",
booktitle = "European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 19th International Conference and Exhibition, EUSPEN 2019",
}