Development of a Predective Type-2 Neurofuzzy Controller

被引：1
|
作者：
Cosenza, Bartolomeo [1 ]
Galluzzo, Mose [1 ]
机构：
[1] Univ Palermo, Dipartimento Ingn Chim Proc & Mat, I-90128 Palermo, Italy
来源：
ICHEAP-9: 9TH INTERNATIONAL CONFERENCE ON CHEMICAL AND PROCESS ENGINEERING, PTS 1-3 | 2009年 / 17卷
关键词：
D O I：
10.3303/CET0917201
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
A controller that combines the main characteristics and advantages of three different control methodologies is proposed for the control of systems with nonlinearities and uncertainties. A neural network predictive control approach is implemented modifying the output of a controller with a fuzzy logic structure that uses type-2 fuzzy sets. Neural networks are also used to optimize the membership function parameters. The proposed controller is tested by simulation for the control of a bioreactor characterized by bifurcation and parameter uncertainty.
引用
收藏
页码：1203 / 1208
页数：6
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