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Experimental optimization of a real time fed-batch fermentation process using Markov decision process

✍ Scribed by Victor M. Saucedo; M. Nazmul Karim

Publisher: John Wiley and Sons
Year: 1997
Tongue: English
Weight: 304 KB
Volume: 55
Category: Article
ISSN: 0006-3592
DOI: 10.1002/(sici)1097-0290(19970720)55:2<317::aid-bit9>3.0.co;2-l

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✦ Synopsis

This article describes a methodology that implements a Markov decision process (MDP) optimization technique in a real time fed-batch experiment. Biological systems can be better modeled under the stochastic framework and MDP is shown to be a suitable technique for their optimization. A nonlinear input/ output model is used to calculate the probability transitions. All elements of the MDP are identified according to physical parameters. Finally, this study compares the results obtained when optimizing ethanol production using the infinite horizon problem, with total expected discount policy, to previous experimental results aimed at optimizing ethanol production using a recombinant Escherichia coli fed-batch cultivation.

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