On-line adaptation of neural networks for bioprocess control

Computers and Chemical Engineering

Volumn 29, Issue 5, 2005, Pages 1047-1057

  Gadkar, Kapil G ^a   Mehra, Sarika ^b   Gomes, James ^c  

^a University of California   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

^c INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Ethanol fermentation; Feed forward control; On line adaptation; Recurrent network

Indexed keywords

BIOMASS; CONCENTRATION (PROCESS); FERMENTATION; ONLINE SYSTEMS; PROCESS CONTROL; SUBSTRATES; YEAST;

BIOPROCESS CONTROL; ON-LINE ADAPTATION; OPERATING CONDITIONS; YEAST FERMENTATION;

RECURRENT NEURAL NETWORKS;

ALCOHOL; DISSOLVED OXYGEN;

CONTROL SYSTEM; ETHANOL; FERMENTATION; NEURAL NETWORK; PROCESS CONTROL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOMASS; BIOPROCESS; COMPARATIVE STUDY; FED BATCH REACTOR; FERMENTATION; ONLINE SYSTEM; PREDICTION; YEAST;

EID: 15744405260     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2004.11.004     Document Type: Article

References (42)

1. S. Aiba, M. Shoda, and M. Nagatani Kinetics of product inhibition in alcohol fermentation Biotechnology and Bioengineering 10 1968 845 865
2. J.P. Barford A mathematical model for the aerobic growth of Saccharomyces cerevisiae with a saturated respiratory capacity Biotechnology and Bioengineering 23 1981 1735 1762
3. D.R. Baughman, and Y.A. Liu Neural Networks in Bioprocessing and Chemical Engineering 1995 Academic Press San Diego
4. V. Breusegem, J. Thibault, and A. Cheruy Adaptive neural models for on-line prediction in fermentation Canadian Journal of Chemical Engineering 69 2 1991 481 487
5. M. Chtourou, K. Najim, G. Roux, and B. Dahhou Control of a bioreactor using neural network Bioprocess Engineering 8 1993 251 254
6. C.L. Cooney, H.Y. Wang, and D.I.C. Wang Computer-aided material balancing for prediction of fermentation parameters Biotechnology and Bioengineering 19 1977 55 67
7. J.S. Donat, N. Bhat, and T.J. McAvoy Neural net based model predictive control International Journal of Control 54 6 1991 1453 1468
8. Gadkar, K. (2000). Control of yeast fermentation using neural networks with on-line weight updating. M. Tech. thesis, Indian Institute of Technology, New Delhi.
9. S.S. Ge, and T.H. Lee Robust adaptive neural network control for a class of non-linear systems Proceedings of the Institution of Mechanical Engineers 211 1 1997 171 181
10. J. Gomes, and A.S. Menawat Estimation of fermentation parameters using partial data Biotechnology Progress 8 1992 118 125
11. J. Gomes, P.K. Roychoudhury, and A.S. Menawat Effect of inputs on parameter estimation and prediction of unmeasured states Proceedings of the IIChE Golden Jubilee Congress New Delhi 1997 239 248
12. J. Gomes, and A.S. Menawat Fed-batch bioproduction of spectinomycin Advances in Biochemical Engineering and Biotechnology 59 1998 1 46
13. J. Gomes, and A.S. Menawat Precise control of dissolved oxygen in bioreactors: a model-based geometric algorithm Chemical Engineering Science 55 1 2000 67 78
14. S. Haykins Neural networks: a comprehensive foundation 1999 Prentice-Hall Inc. New Jersey
15. A. Holmberg, and J. Ranta Procedures for parameter and state estimation of microbial growth process models Automatica 13 1982 181 193
16. M.A. Hussain Review of the applications of neural networks in chemical process control-simulation and online implementation Artificial Intelligence in Engineering 13 1 1999 55 68
17. M. Ignova, J. Glassey, G.A. Montague, G.C. Paul, A.C. Ward, C.R. Thomas, and N.M. Karim Towards intelligent process supervision: industrial penicillin fermentation case study Computers and Chemical Engineering 20 Suppl. 1 1996 S545 S550
18. S.R. Inamdar, and M.S. Chui Fuzzy logic control of an unstable biological reactor Chemical Engineering Technology 20 1997 414 418
19. K.D. Jones, and D.S. Kompala Cybernetic model of the growth dynamics of Saccharomyces cerevisiae in batch and continuous cultures Journal of Biotechnology 71 1999 105 131
20. C. Kravaris Input/output linearization: a nonlinear analog of placing poles at process zeros AIChE Journal 34 11 1988 1803 1812
21. C. Kravaris, and M. Soroush Synthesis of multivariable nonlinear controllers by input/output linearization AIChE Journal 36 2 1990 249 264
22. D.S. Lee, and J.M. Park Neural network modelling for on-line estimation of nutrient dynamics in a sequentially-operated batch reactor Journal of Biotechnology 75 1999 229 239
23. M. Lemoigne, J.P. Aubert, and J. Millet Annales de l'Institut Pasteur (Paris) 87 4 1954 427 439
24. B. Lennox, P. Rutherford, G.A. Montague, and C. Haughin Case study investigating the application of neural networks for process modelling and condition monitoring Computers and Chemical Engineering 22 1998 1573 1579
25. S. Linko, T. Rajalathi, and Y.-H. Zhu Neural state estimation and prediction in amino acid fermentation Biotechnology Techniques 9 8 1995 607 612
26. Mehra, S. (1999). Algorithm for the on-line updating of real-time recurrent network with partial state feedback for bioprocess control implementation. M. Tech. Thesis, Indian Institute of Technology, New Delhi.
27. G.A. Montague, and J. Morris Neural-network contributions in biotechnology Trends in Biotechnology 12 1994 312 324
28. K.S. Narendra Neural networks for control: theory and practice Proceedings of the IEEE 84 10 1996 1385 1406
29. K.S. Narendra, and K. Parthasarathy Identification and control of dynamical systems using neural networks IEEE Transactions on Neural Networks 1 1 1990 4 28
30. P. Potocnik, and I. Grabec Empirical modeling of antibiotic fermentation process using neural networks and genetic algorithms Mathematics and Computers in Simulation 49 1999 363 379
31. T. Proll, and N.M. Karim Nonlinear control of a bioreactor model using exact and I/O linearization International Journal of Control 60 4 1994 499 519
32. J. Schubert, R. Simutis, M. Dors, I. Havlik, and A. Lubbert Bioprocess optimisation and control-application of hybrid modelling Journal of Biotechnology 35 1 1994 51 68
33. Z. Shi, and K. Shimizu Neuro-fuzzy control of bioreactor systems with pattern recognition Journal of Fermentation and Bioengineering 74 1 1992 39 45
34. R. Simutis, and A. Lübbert Exploratory analysis of bioprocesses using artificial neural network-based methods Biotechnology Progress 13 1997 479 487
35. B. Sonnleitner, and O. Kappeli Growth of Saccharomyces cerevisiae is controlled by its limited respiratory capacity: formulation and verification of a hypothesis Biotechnology and Bioengineering 28 1986 927 937
36. G. Stephanopoulos, and K.Y. San Studies on on-line bioreactor identification I Theory of Biotechnology and Bioengineering 26 1984 1176 1188
37. H.T. Su, and T.J. McAvoy Identification of chemical processes using recurrent networks Proceedings of Amer. Cntr. Conf. Pittsburgh 1989 2314 2319
38. C. Szepesvári, C. Szabolcs, and A. Lorincz Neurocontroller using dynamic state feedback for compensatory control Neural Networks 10 9 1997 1691 1708
39. P. Teissier, B. Perret, E. Latrille, J.M. Barillere, and G. Corrieu A hybrid recurrent neural network model for yeast production monitoring and control in a wine based medium Journal of Biotechnology 55 9 1997 157 169
40. Y. Tian, J. Zhang, and J. Morris Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model Neurocomputing 48 2002 919 936
41. K. Van't Riet Mass transfer in fermentation Trends in Biotechnology 1 4 1983 113 116
42. Y. You, and M. Nikolaou Dynamic process modelling with recurrent neural networks AIChE Journal 39 10 1993 1654 1667