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
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.