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Hybrid modelling of biotechnological processes using neural networks

Research output: Contribution to journalJournal article


<mark>Journal publication date</mark>07/2000
<mark>Journal</mark>Control Engineering Practice
Number of pages7
<mark>Original language</mark>English


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) Elsevier

Bibliographic note

Cited by over 14 other papers. The final, definitive version of this article has been published in the Journal, Control Engineering Practice 8 (7), 2000, © ELSEVIER.