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  • 标题:Robust observation strategy to estimate unknown inputs * * This research was financed by CONACYT (project 100298) and PAPIIT-UNAM (project IN112114)
  • 本地全文:下载
  • 作者:Ixbalank Torres ; Alejandro Vargas ; Germán Buitrón
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:7
  • 页码:1199-1204
  • DOI:10.1016/j.ifacol.2016.07.373
  • 语种:English
  • 出版社:Elsevier
  • 摘要:This article presents a robust estimation strategy to reconstruct unknown inputs for nonlinear systems. The observer proposed consists of a Luenberger observer, which estimates the internal states of the system, coupled to a super-twisting observer, which reconstructs the unknown input considering the precedent estimations. The feasibility of the strategy is demonstrated for a real biohydrogen production process.
  • 关键词:Unknown input reconstructionsuper-twisting observerLuenberger observerbiohydrogen production
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