A proposal of a fuzzy-neuro predictive control, tuned by genetic algorithms, with application to the start-up control of a distillation column

被引：0
|
作者：
Fabro, JA [1 ]
Neves, F [1 ]
Arruda, LVR [1 ]
机构：
[1] Univ Estadual Oeste Parana, BR-85870900 Foz Iguacu, PR, Brazil
来源：
HIS 2005: 5TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS, PROCEEDINGS | 2005年
关键词：
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：
This paper presents the development of a fuzzy predictive controller that can be applied to the control of multi-stage processes. Recurrent neural networks are used to identify each stage of the controlled process, and then provide predictions about the stage behaviour These predictions are used by a set of fuzzy controllers, in order to accomplish several control procedures needed to start-up a distillation column from chemical industry. Genetic algorithms (GA's) are used to automatically tune the controllers.
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页码：539 / 541
页数：3
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