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文章基本信息

  • 标题:Identification of Nonlinear Soft Sensor Models of Industrial Distillation Process under Uncertainty
  • 本地全文:下载
  • 作者:Andrei Torgashov ; Konstantin Zmeu
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:28
  • 页码:45-50
  • DOI:10.1016/j.ifacol.2015.12.098
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe advancement of method of nonlinear soft sensor development using a nonparametric approach based on the example of industrial multicomponent distillation column is considered. The proposed procedure for soft-sensors evaluation is directed to overcome such difficulties in practice as process nonlinearity and uncertainty due to unknown model structure and measurement errors of output.
  • 关键词:KeywordsSoft sensingprocess modelsprocess identificationdistillation columnsuncertainty
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