文章基本信息

标题：A New Data-Driven Approach of Reference Shaping
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作者：Keisuke Kuwabara ; Tomonori Sadamoto ; Osamu Kaneko 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：3971-3976
DOI：10.1016/j.ifacol.2020.12.2256
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, we propose a data-driven method of reference shaping to improve the tracking performance of uncertain linear systems. The proposed method can be implemented on a system based on its input-output data; the finite-timeL2-norm of the tracking error, estimated using the data, can be minimized. Moreover, the proposed algorithm can be extended for cases where the control inputs are constrained owing to actuation limits. The effectiveness of the proposed method is demonstrated through a numerical simulation and an experiment conducted using the cart system.
关键词：KeywordsData-Driven ControlReference ShapingInput ConstraintsReference Governor