DocumentCode :
401821
Title :
Fuzzy adaptive DBF neural identification and application for MIMO nonlinear system
Author :
Cao, Wen-ming ; Feng, Hao ; Fei, Lu ; Wang, Shou-Jue
Author_Institution :
Inst. of Intelligent Inf. Syst., Zhejiang Univ. of Technol., Hangzhou, China
Volume :
4
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
2355
Abstract :
This paper presents a robust adaptive fuzzy direction basis function neural controller (AFDBFNC) suitable for identification based on direction basis function. The proposed controller has the following salient features: (1) self-organizing fuzzy neural structure; (2) online learning ability of nonlinear systems; (3) fast learning speed; (4) adaptive control. Simulation example is included to confirm the validity and performance of the proposed control algorithm.
Keywords :
MIMO systems; adaptive control; fuzzy neural nets; learning (artificial intelligence); neurocontrollers; nonlinear control systems; radial basis function networks; MIMO nonlinear system; adaptive control; adaptive fuzzy direction basis function neural controller; fast learning speed; online learning ability; self organizing fuzzy neural structure; Adaptive control; Automatic control; Control systems; Fuzzy control; Fuzzy systems; MIMO; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1259903
Filename :
1259903
Link To Document :
بازگشت