Hybrid filtering of feed stream noise from oscillating yeast cultures by combined Kalman and neural network configurations

Bioprocess and Biosystems Engineering

Volumn 30, Issue 3, 2007, Pages 181-188

  Patnaik, Pratap R ^a  

^a INSTITUTE OF MICROBIAL TECHNOLOGY   (India)

Author keywords

Continuous oscillating cultures; Feed stream noise; Hybrid filtering; Neural topologies; Saccharomyces cerevisiae

Indexed keywords

BIOREACTORS; CELL CULTURE; FERMENTATION; NEURAL NETWORKS; YEAST;

CONTINUOUS FLOW BIOREACTORS; FEED STREAM NOISE; FEED STREAMS; HYBRID FILTERS; NEURAL FILTERS; NEURAL TOPOLOGIES;

EXTENDED KALMAN FILTERS;

ARTICLE; CONTINUOUS FLOW REACTOR; FERMENTATION; FILTER; HYBRID; NOISE REDUCTION; PRIORITY JOURNAL; SACCHAROMYCES CEREVISIAE;

ALGORITHMS; BIOREACTORS; BIOTECHNOLOGY; CYBERNETICS; FERMENTATION; NEURAL NETWORKS (COMPUTER); SACCHAROMYCES CEREVISIAE;

SACCHAROMYCES CEREVISIAE;

EID: 34247578049     PISSN: 16157591     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00449-007-0113-4     Document Type: Article

References (32)

1. Patnaik PR (1999) Improvement of the microbial production of streptokinase by controlled filtering of process noise. Process Biochem 35:309-315
2. Patnaik PR (2001) A simulation study of dynamic neural filtering and control of a fed-batch bioreactor under nonideal conditions. Chem Eng J 84:533-541
3. Patnaik PR (2003) An integrated hybrid neural system for noise filtering, simulation and control of a fed-batch recombinant fermentation. Biochem Eng J 15:165-175
4. Duboc Ph, Marison I, von Stochar U (1996) Physiology of Saccharomyces cerevisiae during cell cycle oscillations. J Biotechnol 51:57-72
5. Jones KD, Kompala DS (1999) Cybernetic model of the growth dynamics of Saccharomyces cerevisiae in batch and continuous cultures. J Biotechnol 71:105-131
6. Beuse M, Kopmann A, Diekmann H, Thoma M (1999) Oxygen, pH value, and carbon source induced changes of the mode of oscillation in synchronous continuous culture of Saccharomyces cerevisiae. Biotechnol Bioeng 63:410-417
7. Satroutdinov AD, Kuriyama H, Kobayashi H (1992) Oscillatory metabolism of Saccharomyces cerevisiae in continuous culture. FEMS Microbiol Lett 98:261-268
8. Zamamiri AM, Birol G, Hjortso MA (2001) Multiple steady states and hysteresis in continuous cultures of budding yeast. Biotechnol Bioeng 75:305-312
9. Beuse M, Bartling R, Kopman A, Diekman H, Thoma M (1998) Effect of dilution rate on the mode of oscillation in continuous cultures of Saccharomyces cerevisiae. J Biotechnol 61:15-31
10. Rohner M, Meyer H-P (1995) Application of modeling for bioprocess design and control in industrial production. Bioprocess Eng 13:69-78
11. Liden G (2002) Understanding the bioreactor. Bioprocess Biosyst Eng 24:273-279
12. Patnaik PR (2005) Process analysis in a disturbed environment during oscillatory metabolism of Saccharomyces cerevisiae. Ind J Biotechnol 4:201-208
13. Patnaik PR (2006) Hybrid filtering to rescue stable oscillations from noise-induced chaos in continuous cultures of budding yeast. FEMS Yeast Res 6:129-138
14. Nelles O (2000) Nonlinear system identification: from classical approaches to neural networks and fuzzy models. Springer, New York
15. Patnaik PR (2003) On the performances of noise filters in the restoration of oscillatory behavior in continuous yeast cultures. Biotechnol Lett 25:681-685
16. Patnaik PR (2006) Neural network configurations for filtering of feed stream noise from oscillating continuous microbial fermentations. Bioautomation 4:45-56
17. Tian Y, Zhang J, Morris AJ (2002) Optimal control of a fedbatch bioreactor based upon an augmented recurrent neural network model. Neurocomputing 48:919-936
18. Patnaik PR (2004) A Lyapunov comparison of noise-filtering methods for oscillating yeast cultures. AIChEJ 50:1640-1646
19. Galvanauskas V, Simutis R, Lubbert A (2004) Hybrid process models for process optimization, monitoring and control. Bioprocess Biosyst Eng 26:393-400
20. van Can HJL, te Braake HAB, Helliga C, Luyben KCA, Heijnen JJ (1997) An efficient model development strategy for bioprocess based on neural networks in macroscopic balances. Biotechnol Bioeng 54:549-566
21. Patnaik PR (2003) Oscillatory metabolism of Saccharomyces cerevisiae: an overview of mechanisms and models. Biotechnol Adv 21:183-192
22. Glassey J, Montague GA, Ward AC, Kara BV (1994) Artificial neural network based experimental design procedures for enhancing fermentation development. Biotechnol Bioeng 44:397-405
23. Simutis R, Lubbert A (1997) Exploratory analysis of bioprocesses using artificial neural based methods. Biotechnol Prog 13:479-487
24. Chen VCP, Rollins DK (2000) Issues regarding artificial neural network modeling of reactors and fermentors. Bioprocess Biosyst Eng 22:85-93
25. Ramkrishna D, Kompala DS, Tsao GT (1987) Are microbes optimal strategists? Biotechnol Prog 3:121-126
26. Bai FW, Chen LJ, Anderson WA, Moo-Young M (2004) Parameter oscillations in a very high gravity medium continuous ethanol fermentation and their attenuation on multistage packed column bioreactor system. Biotechnol Bioeng 88:558-566
27. Wolf A, Swift JB, Swinney HL, Vastano JA (1985) Determining Lyapunov exponents from a time series. Physica D 16:285-317
28. Hassoun MH (1995) Fundamentals of artificial neural networks. MIT Press, Cambridge
29. Patnaik PR (2004) How effective is an extended Kalman filter for continuous yeast cultures affected by both inflow and measurement noise? Curr Sci 10:999-1007
30. Dochain D, Perrier M (1997) Dynamic modeling, analysis, monitoring, and control design for nonlinear bioprocesses. Adv Biochem Eng Biotechnol 56:147-197
31. Raser JM, O'Shea EK (2005) Noise in gene expression: origins, consequences, and control. Science 309:2010-2013
32. Turner BG, Ramkrishna D (1988) Revised enzyme synthesis rate expression in cybernetic models of bacterial growth. Biotechnol Bioeng 31:41-43