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文章基本信息

  • 标题:Iterative Learning Control with Input Saturation ⁎
  • 本地全文:下载
  • 作者:Pavel Pakshin ; Julia Emelianova ; Eric Rogers
  • 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:338-343
  • DOI:10.1016/j.ifacol.2019.12.698
  • 语种:English
  • 出版社:Elsevier
  • 摘要:The paper considers iterative learning control for differential and discrete linear systems with control input saturation. A new design is developed based on the use of 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 methodinput saturationstate observerrepetitive processesvector Lyapunov functiondissipativity
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