Chen, L.
Bernard, O.
Bastin, Georges
[UCL]
Angelov, P
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.
Bibliographic reference |
Chen, L. ; Bernard, O. ; Bastin, Georges ; Angelov, P. Hybrid modelling of biotechnological processes using neural networks.14th IFAC World Congress (BEIJING(Peoples R China), Jul, 1999). In: Control Engineering Practice, Vol. 8, no. 7, p. 821-827 (2000) |
Permanent URL |
http://hdl.handle.net/2078.1/62137 |