DocumentCode :
2998850
Title :
The control system of GA-BP fuzzy neural network controller and Elman network identifier
Author :
Qiming, Cheng ; Du Xufeng ; Yong, Zheng ; Ruiqing, Guo
Author_Institution :
Coll. of Electr. Power & Autom., Shanghai Univ. of Electr. Power, Shanghai
fYear :
2008
fDate :
1-3 Sept. 2008
Firstpage :
1653
Lastpage :
1657
Abstract :
The fuzzy controller with neural network is proposed in this paper, this system consists of a fuzzy neural network controller and a model identification network, the fuzzy neural network controller is optimized by the offline genetic algorithm of global searching ability, and the online BP algorithm ability of local searching. The detailed control algorithm is given, the algorithm of system identification based on modified Elman network is ratiocinated. The simulation result shows the feasibility and validity of the proposed method.
Keywords :
backpropagation; fuzzy control; fuzzy neural nets; genetic algorithms; identification; neurocontrollers; search problems; Elman network identifier; GA-BP fuzzy neural network controller; backpropagation; control system; global searching ability; model identification network; offline genetic algorithm; Automation; Control systems; Educational institutions; Electrical equipment industry; Fuzzy control; Fuzzy neural networks; Fuzzy reasoning; Genetic algorithms; Neural networks; Process control; BP Algorithm; Elman Network Fuzzy Control; Fuzzy Neural Network; Genetic Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
Type :
conf
DOI :
10.1109/ICAL.2008.4636419
Filename :
4636419
Link To Document :
بازگشت