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文章基本信息

  • 标题:Observer Based Iterative Learning Control of Uncertain Plant ⁎
  • 本地全文:下载
  • 作者:Julia Emelianova ; Pavel Pakshin ; Mikhail Emelianov
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:29
  • 页码:298-303
  • DOI:10.1016/j.ifacol.2019.12.666
  • 语种:English
  • 出版社:Elsevier
  • 摘要:In this paper, differential and discrete linear systems with the affine model of parametric uncertainty are considered. A new method of iterative learning control design for such systems is proposed. This method is based on using a full state observer in combination with the method of vector Lyapunov functions and dissipativity theory for repetitive processes. An example demonstrating the features and advantages of the new design is given.
  • 关键词:Keywordsiterative learning controldesign methodparametric uncertaintystate observerrepetitive processesvector Lyapunov functiondissipativity
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