Adaptive optimal control of fed-batch alcoholic fermentation

被引：0
作者：
T. L. M. Alves
A. C. Costa
A. W. S. Henriques
E. L. Lima
机构：
[1] PEQ/COPPE/UFRJ,
来源：
Applied Biochemistry and Biotechnology | 1998年 / 70-72卷
关键词：
Ethanol production; optimal control; hybrid neural; modeling; adaptive control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An adaptive control scheme is developed for the optimization of a fed-batch ethanol production process. The fermentation process is modeled by an hybrid neural model combining mass balance equations and neural networks, used to represent the kinetic rates. The networks used, the functional link networks (FLN), allow the linear estimation of their parameters; this enables the re-estimation of the parameters at each sampling time, and thus the development of an adaptive optimal control scheme.
引用
收藏
页码：463 / 478
页数：15
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