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