Hybrid modelling of biotechnological processes using neural networks

Control Engineering Practice

Volumn 8, Issue 7, 2000, Pages 821-827

  Chen, L ^a   Bernard, O ^b   Bastin, G ^a   Angelov, P ^c  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^b INRIA   (France)

^c LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Biotechnology; Identification; Modelling; Neural networks

Indexed keywords

MATHEMATICAL MODELS; NEURAL NETWORKS; REACTION KINETICS;

HYBRID MODELS; MASS BALANCE MODELS;

BIOTECHNOLOGY;

EID: 0033691089     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0967-0661(00)00036-8     Document Type: Article

References (7)

1. Bastin G., Dochain D. On line estimation and adaptive control of bioreactors. 1990;Elsevier, Amsterdam.
2. Bernard, O., & Bastin, G. (1998). Structural identification of nonlinear mathematical models for bioprocesses. Proceedings NOLCOS IFAC symposium, Enschede, The Netherlands (pp. 448-453).
3. Bernard, O., Bastin, G., Stentelaire, C., Lesage, L., & Asther, M. (1999). Mass balance modelling of vanillin production from vanillic acid by cultures of the fungus Pycnoporus cinnabarinus in bioreactors. Biotechnology and Bioengineering 65(5) 558-571.
4. Chen L., Bastin G. Structural identifiability of the yield coefficients in bioprocess models when the reaction rates are unknown. Mathematical Biosciences. 132:1996;35-67.
5. Chen, L., Zhang, J., Morris, A. J., Montague, G. A., Kent, C. A., & Norton, J. P. (1995). Combining neural networks with physical knowledge in modelling and state estimation of bioprocesses. Proceedings of the third European control conference, Rome (pp. 2426-2431).
6. Psichogios D.C., Ungar L.H. A hybrid neural network - first principles approach to process modelling. A.I.Ch.E. Journal. 10:1992;1499-1511.
7. Feyo de Azevedo S., Dahm B., Oliveira F.R. Hybrid modelling of biochemical processes: A comparison with the conventional approach. Computers in Chemical Engineering. 21:1997;S751-S756.