DocumentCode :
354195
Title :
Application of a new fuzzy neural controller in electric touch quickly heated process
Author :
Junqi, Yu ; Tao, Wu ; Yongxuan, Huang ; Baosheng, Hu
Author_Institution :
Xi´´an Jiaotong Univ., China
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
967
Abstract :
The benefits of fuzzy control and neural network control are discussed. A quick learning control algorithm is given. The controlled object has movement characteristics and quickly-varying parameters. Good control effects are obtained. In control solution space, fuzzy control is used for quick primary partition, then neural network control to get the precise control. It gets successful application in electric touch quickly heated industrial process, and show its good control property and application value
Keywords :
electric heating; fuzzy control; fuzzy neural nets; learning systems; neurocontrollers; electric touch quickly heated process; fuzzy neural controller; quick learning control algorithm; quickly-varying parameters; Fuzzy control; Fuzzy neural networks; Industrial control; Intelligent networks; Neural networks; Partitioning algorithms; Resistance heating; Temperature control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.863377
Filename :
863377
Link To Document :
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