文章基本信息

标题：Update of Feedforward Compensation with Experimental Data based on Kernel Regularized Identification ⁎
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作者：Yusuke Fujimoto ; Wataru Kasai ; Toshiharu Sugie 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：15
页码：192-196
DOI：10.1016/j.ifacol.2018.09.128
语种：English
出版社：Elsevier
摘要：AbstractThis paper is concerned with data-driven controller redesign, and proposes an approach to update the feedforward compensation in two degree-of-freedom control systems based on one shot experimental I/O data. First, one experiment is performed to obtain an output response of the target control system. Then, the feedforward compensator is updated in a non-parametric form based on the observed output data with known controller parameters. The new feedforward compensator is obtained through a kernel regularized identification. The effectiveness of the proposed method is demonstrated by some numerical examples.
关键词：Keywordsdata-driven controlkernel based identificationnon-parametric modelstwo-degree-of-freedom control