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  • 标题:Optimal Experimental Design for an Enzymatic Biodiesel Production System
  • 本地全文:下载
  • 作者:Hui Yu ; Hong Yue ; Peter Halling
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:8
  • 页码:1258-1263
  • DOI:10.1016/j.ifacol.2015.09.141
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractTwo optimal experimental design (OED) problems for an enzymatic biodiesel production system are investigated to improve parameter estimation quality. An orthogonalized sensitivity analysis method is firstly implemented to select important parameters. Next the design of measurement set and sampling strategy is developed in the form of two convex optimization problems which are solved by the interior-point algorithm and the Powell's method, respectively. Simulation results demonstrate the function of OED in reducing parameter estimation errors. The biodiesel concentration is identified to be the most valuable state variable observation, and the parameter estimation accuracy can be improved through optimal sampling design.
  • 关键词:Keywordsoptimal experimental design (OED)enzymatic biodiesel reaction systemmeasurement set selectionoptimal sampling strategyparameter estimationlocal sensitivity analysis (LSA)
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