DocumentCode
2268647
Title
Dynamic cellular modeling for continuous fermentation
Author
Asoor, Alok B. ; Muske, Kenneth R. ; Kelly, William J. ; Parker, Robert S.
Author_Institution
Dept. of Chem. & Pet. Eng., Univ. of Pittsburgh, PA, USA
Volume
3
fYear
2003
fDate
4-6 June 2003
Firstpage
2389
Abstract
This paper presents the results of an experimental study intended to compare dynamic process modeling techniques for a continuous fermentation system. We consider a lumped parameter parametric model based on the ideal chemostat and a nonparametric empirical Volterra series model. We compare the dynamic cell mass predictions from each model form to that obtained experimentally for a complex Escherichia coli fermentation system and discuss the results.
Keywords
Volterra series; fermentation; nonlinear systems; parameter estimation; Escherichia coli; Monod equation; Volterra series; continuous fermentation; dynamic cellular modeling; dynamic process modeling techniques; lumped parameter parametric model; mass predictions; parametric model prediction; process identification; Biochemistry; Biological system modeling; Chemical engineering; DNA; Design optimization; Microorganisms; Nonlinear dynamical systems; Parametric statistics; Predictive models; Wavelength measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2003. Proceedings of the 2003
ISSN
0743-1619
Print_ISBN
0-7803-7896-2
Type
conf
DOI
10.1109/ACC.2003.1243432
Filename
1243432
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