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文章基本信息

  • 标题:On Adaptive Estimation of Bacterial Growth in the Competitive Chemostat
  • 本地全文:下载
  • 作者:Alex dos Reis de Souza ; Jean-Luc Gouzé ; Andrey Polyakov
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:16
  • 页码:262-267
  • DOI:10.1016/j.ifacol.2019.11.789
  • 语种:English
  • 出版社:Elsevier
  • 摘要:In this paper, the problem of state estimation of a bioreactor containing a single substrate and several competing species is studied. This scenario is well-known as acompetition model, in which multiple species compete for the same nutrient. The goal is to estimate concentrations of the substrate and all species, considering the concentration of total biomass as measurement. To address such a challenge, the estimation scheme relies in the coupling of two estimation techniques: an asymptotic observer, which takes advantage of the model structure being independent of its kinetics, and a finite-time parameter estimation technique, which also drops the usual requirement of persistence of excitation.
  • 关键词:Keywordschemostatbiologicalrobust estimationfinite-timeobserver
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