Title :
A New Dynamic Decoupling Control Method Based on Fuzzy Neural network
Author :
Zhang Ping ; Wang Youhua
Author_Institution :
Inst. of Autom., Hebei Univ. of Technol., Tianjin, China
Abstract :
In this paper, a new dynamic decoupling method based on fuzzy neural network aiming at two-dimension flume of process control device with serious coupling is proposed. The learning algorithm of fuzzy neural network is gradient method. The experiment results show the recommended method can conquer the disadvantage of routine decoupling method - requiring high-precision mathematical model and good identification. The practice indicates it accords with teaching demand of process control experiment wholly and has widely applied value.
Keywords :
fuzzy neural nets; gradient methods; neurocontrollers; process control; dynamic decoupling control; fuzzy neural network; gradient method; learning algorithm; process control device; Automatic control; Automation; Education; Electronic mail; Fuzzy control; Fuzzy neural networks; Gradient methods; Mathematical model; Neural networks; Process control; Fuzzy neural network; decoupling control; process control;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280570
