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  • 标题:Update of Feedforward Compensation with Experimental Data based on Kernel Regularized Identification ⁎
  • 本地全文:下载
  • 作者:Yusuke Fujimoto ; Wataru Kasai ; Toshiharu Sugie
  • 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
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