Optimization of fed-batch fermentors by iterative dynamic programming

By using penalty functions to handle state constraints, iterative dynamic programming can be used in a straightforward manner for the optimization of fedbatch fermentors. No computational difficulties were encountered and better results are obtained than previously reported in the literature for a f...

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Veröffentlicht in:	Biotechnology and bioengineering 1993-03, Vol.41 (5), p.599-602
1. Verfasser:	Luus, Rein
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Biotechnology Fundamental and applied biological sciences. Psychology iterative dynamic programming Methods. Procedures. Technologies Microbial engineering. Fermentation and microbial culture technology optimal control
Online-Zugang:	Volltext
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Zusammenfassung:	By using penalty functions to handle state constraints, iterative dynamic programming can be used in a straightforward manner for the optimization of fedbatch fermentors. No computational difficulties were encountered and better results are obtained than previously reported in the literature for a fed‐batch fermentor for biosynthesis of penicillin. © 1993 Johy Wiley & Sons, Inc.
ISSN:	0006-3592 1097-0290
DOI:	10.1002/bit.260410513