Dynamic reoptimization of a fed-batch fermentor

Traditionally, fed‐batch biochemical process optimization and control use complicated models and off‐line optimizers with no on‐line model adaptation and re‐optimization. This work demonstrates the applicability, effectiveness, and economic potential, of a simple phenomenological model for modeling,...

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Veröffentlicht in:Biotechnology and bioengineering 1999-04, Vol.63 (1), p.10-21
Hauptverfasser: Iyer, Mahesh S., Wiesner, Theodore F., Rhinehart, R. Russell
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container_title Biotechnology and bioengineering
container_volume 63
creator Iyer, Mahesh S.
Wiesner, Theodore F.
Rhinehart, R. Russell
description Traditionally, fed‐batch biochemical process optimization and control use complicated models and off‐line optimizers with no on‐line model adaptation and re‐optimization. This work demonstrates the applicability, effectiveness, and economic potential, of a simple phenomenological model for modeling, and a novel optimizer for on‐line re‐optimization and control of an aerobic fed‐batch fermentor. © 1999 John Wiley & Sons, Inc. Biotechnol Bioeng 63: 10–21, 1999.
doi_str_mv 10.1002/(SICI)1097-0290(19990405)63:1<10::AID-BIT2>3.0.CO;2-C
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subjects Animals
Antibodies, Monoclonal - biosynthesis
Biological and medical sciences
Bioreactors
Biotechnology
Biotechnology - instrumentation
Biotechnology - methods
Cell Culture Techniques - instrumentation
Cell Culture Techniques - methods
dynamic re-optimization
fed-batch fermentor
Fermentation
Fundamental and applied biological sciences. Psychology
General aspects
Humans
Hybridomas - cytology
Kinetics
Mathematical models
Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
Methods. Procedures. Technologies
Microbial engineering. Fermentation and microbial culture technology
model re-parametrization
Models, Theoretical
Optimization
Process control
process-model mismatch
Reproducibility of Results
title Dynamic reoptimization of a fed-batch fermentor
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