• DocumentCode
    2855995
  • Title

    Bioreactor states estimation in the feedbatch process using differential neural networks

  • Author

    Cabrera, Agustln I. ; Poznyak, Alexander ; Poznyak, Tatiana

  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2906
  • Abstract
    For the feedbatch fermentation process (FFP) the estimation of the model´s states is realized in two steps: first, the observability conditions of the considered FFP-model are derived; second, the dynamic neural network technique is applied to obtain the current state estimations. The numerical simulations illustrate the effectiveness of the suggested approach
  • Keywords
    biotechnology; fermentation; modelling; neural nets; state estimation; bioreactor states estimation; differential neural networks; dynamic neural network technique; feedbatch process; numerical simulations; observability conditions; Biomass; Bioreactors; Control theory; Equations; Intelligent networks; Neural networks; Numerical simulation; Observability; Observers; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-6465-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.2000.901483
  • Filename
    901483
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2855995