An adaptive neural control of a fed-batch fermentation processes

被引:0
|
作者
Baruch, LS [1 ]
Cortes, JB [1 ]
Medina, JP [1 ]
Hernandez, LA [1 ]
机构
[1] CINVESTAV, IPN, Dept Biotechnol & Bioengn, Mexico City 07360, DF, Mexico
关键词
adaptive control; fed-batch fermentation of Bacillus thuringiensis; dynamic backpropagation; recurrent neural networks;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A nonlinear mathematical model of a feed-batch fermentation process of Bacillus thuringiensis (Bt.), is derived and a theorem proof of the existence of positive solution of the obtained model, is done. The obtained model is validated by experimental data. An identification and adaptive neural control scheme of the system, represented by a neural identifier and a neural controller, based on the recurrent trainable neural network model, is proposed.. The applicability of the proposed adaptive control scheme is confirmed by simulation results which exhibits a good convergence.
引用
收藏
页码:808 / 812
页数:5
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