Intelligent neuro-fuzzy based predictive control of a continuous stirred tank reactor

被引：0
|
作者：
Jalili-Kharaajoo, M [1 ]
Roudsari, FH [1 ]
机构：
[1] Islamic Azad Univ, Young Reachers Club, Tehran, Iran
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS | 2005年 / 3498卷
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：
In this paper, a predictive control strategy based on neuro-fuzzy (NF) model of the plant is applied to Continuous Stirred Tank Reactor (CSTR). An optimizer algorithm based on evolutionary programming technique (EP) uses the identifier-predicted outputs and determines input sequence in a time window. Using the proposed neuro-fuzzy predictive controller, the performance of Ph tracking problem in a CSTR process is investigated.
引用
收藏
页码：662 / 667
页数：6
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