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

Abstract:

: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. (c) 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 55: 317-327, 1997.

journal_name

Biotechnol Bioeng

authors

Saucedo VM,Karim MN

doi

10.1002/(SICI)1097-0290(19970720)55:2<317::AID-BIT

subject

Has Abstract

pub_date

1997-07-20 00:00:00

pages

317-27

issue

2

eissn

0006-3592

issn

1097-0290

journal_volume

55

pub_type

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