Hybrid modelling of biotechnological processes using neural networks

Chen, L.;Bernard, O.;Bastin, Georges;Angelov, P
(2000) 14th IFAC World Congress — Location: BEIJING(Peoples R China)

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Authors
  • Chen, L.
    Author
  • Bernard, O.
    Author
  • Bastin, Georgesorcid-logoUCLouvain
    Author
  • Angelov, P
    Author
Abstract
The hybrid modelling approach for bioprocesses combines a neural network representation of the reaction rates with a mass-balance description of the reactor. A procedure for the identification of hybrid models is proposed and illustrated with an experimental case-study. The key feature is a state transformation which allows to identify separately the kinetic models of the reaction rates even if they occur simultaneously in the reactor. (C) 2000 Elsevier Science Ltd. All rights reserved.
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Chen, L., Bernard, O., Bastin, G., & Angelov, P. (2000). Hybrid modelling of biotechnological processes using neural networks. Control Engineering Practice, 8(7), 821-827. https://doi.org/10.1016/S0967-0661(00)00036-8 (Original work published 2000)