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  • 标题:Frequency Response Data-based Disturbance Observer Design via Convex Optimization ⁎
  • 本地全文:下载
  • 作者:Xiaoke Wang ; Wataru Ohnishi ; Takafumi Koseki
  • 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:8619-8624
  • DOI:10.1016/j.ifacol.2020.12.512
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractTo estimate and compensate disturbances effectively, disturbance observer (DOB) has been widely employed in industrial field. This paper is dedicated to designing DOB by directly utilizing frequency response data. By transforming all the non-convex constraints into convex form, the bandwidth of DOB is maximized through iterative convex optimization process. Simulation results have verified the effectiveness of the proposed method.
  • 关键词:KeywordsDisturbance observerfrequency response databandwidth maximizationconvex optimization
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