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文章基本信息

  • 标题:Reliable Unknown Input Observer for Continuous-Time Linear Systems
  • 本地全文:下载
  • 作者:Nacim Meslem ; Ahmad Hably ; Tarek Raïssi
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:6
  • 页码:248-253
  • DOI:10.1016/j.ifacol.2022.07.137
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis work proposes a set-valued extension of the classical unknown input observers for linear continuous-time systems without using set-by-step set-membership computations or imposing the positivity property of the dynamics of the estimation error. In fact, based on an explicit set-integration method of the estimation error, the framing and convergence properties of the proposed set-valued unknown input observer are demonstrated. Moreover, thanks to the proposed design approach, robust threshold on the residual can be establisheda priori. Simulation results are reported to highlight the effectiveness of the proposed state estimator in the presence of unknown inputs.
  • 关键词:KeywordsState estimationcontinuous-time linear systemsunknown input observerinterval observerset-membership estimationreachability analysis
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