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  • 标题:Switch-Based Iterative Learning Control for Tracking Iteration Varying References a
  • 本地全文:下载
  • 作者:Efe C. Balta ; Dawn M. Tilbury ; Kira Barton
  • 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:1493-1498
  • DOI:10.1016/j.ifacol.2020.12.1940
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIterative Learning Control (ILC) is a control strategy that improves the performance of repetitive systems by enabling near-perfect reference tracking. Iteration-invariant reference signals have been a fundamental assumption for most existing ILC developments. This assumption poses limitations on many applications of ILC where the iteration-varying reference is known to the controller a priori. This work presents a switch-based ILC scheme that combines the performance of standard ILC with guarantees on the error for switched reference signals. The proposed controller is formulated and its performance is analyzed. A simulation case study is provided at the end to illustrate the performance.
  • 关键词:KeywordsRepetitive systemsiterative learning control (ILC)learning-based control
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