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  • 标题:Lyapunov Functions for Continuous and Discontinuous Differentiators
  • 本地全文:下载
  • 作者:Emmanuel Cruz-Zavala ; Emmanuel Cruz-Zavala ; Jaime A. Moreno
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:18
  • 页码:660-665
  • DOI:10.1016/j.ifacol.2016.10.241
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Abstract: Given a (differentiable) signal it is an important task for many applications to estimate on line its derivatives. Some well known algorithms to solve this problem include the (continuous) high-gain observers and (discontinuous) Levant’s exact differentiators. In this work we present a family of homogeneous differentiators, encompassing these two algorithms, and we propose a unified smooth Lyapunov function, that allows a common framework to study their convergence and performance analysis.
  • 关键词:KeywordsObservability and Observer DesignLyapunov Stability MethodsVariable Structure ControlSliding Mode
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