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
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;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1243432
