Dynamic and neuro-dynamic optimization of a fed-batch fermentation process

被引：0

作者：

Ilkova, Tatiana ^{[1
]}

Petrov, Mitko ^{[1
]}

机构：

[1] Bulgarian Acad Sci, Ctr Biomed Engn, BU-1113 Sofia, Bulgaria

来源：

ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, AND APPLICATIONS | 2008年 / 5253卷

关键词：

dynamic programming; neuro-dynamic programming; neural network;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A fed-batch fermentation process is examined in this paper for experimental and further dynamic optimization. The optimization of the initial process conditions is developed for to be found out the optimal initial concentrations of the basic biochemical variables - biomass, substrate and feed substrate concentration. For this aim, the method of dynamic programming is used. After that, these initial values are used for the dynamic optimization carried out by neuro-dynamic programming. The general advantage of this method is that the number of the iterations in the cost approximation part is decreased.

引用

页码：365 / 369

页数：5

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