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文章基本信息

  • 标题:Fixed-Time Estimators of Derivatives of Unknown Maps ⁎
  • 本地全文:下载
  • 作者:Libin Wang ; Songlin Chen ; Miroslav Krstić
  • 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:1530-1535
  • DOI:10.1016/j.ifacol.2020.12.2012
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractA systematic and generalized asymptotic derivative estimator design method is first presented for unknown maps by adding a sinusoidal excitation signal to the argument of the map. Then, based on the proposed asymptotic derivative estimator approach and based on the existing design methods for both finite-time and fixed-time state observers, finite-time and fixed-time derivative estimators are designed. The sufficient conditions for finite-time and fixed-time input-to-state stable of the finite-time and fixed-time derivative estimators are given respectively when a bounded disturbance input exists.
  • 关键词:KeywordsDerivative estimatorExtremum seekingFinite-timeFixed-timeInput-to-state stability
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