DocumentCode :
578439
Title :
Chaos sychronization using un-normalized interval type-2 fuzzy neural controller
Author :
Lee, Ching-Hung ; Chang, Feng-Yu ; Lin, Chih-Min
Author_Institution :
Dept. of Mech. Eng., Nat. Chung Hsing Univ., Taichung, Taiwan
Volume :
4
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
1617
Lastpage :
1622
Abstract :
This paper proposes an un-normalized interval type-2 fuzzy neural network (UIT2FNN) and its application on chaos synchronization. The UIT2FNN combines the advantages of un-normalized interval type-2 fuzzy logic system and neural network. For chaos synchronization, the UIT2FNN plays the role of controller that generates the proper control input such that the two chaotic systems can be synchronized. The simulation and comparison results of Duffing-Holmes system synchronization are presented to illustrate the performance of the proposed UIT2FNN.
Keywords :
chaos; fuzzy control; neurocontrollers; nonlinear control systems; synchronisation; Duffing-Holmes system synchronization; UIT2FNN; chaos sychronization; neural network; unnormalized interval type-2 fuzzy logic system; unnormalized interval type-2 fuzzy neural controller; Abstracts; Gold; Indexes; Duffing-Holmes system; Interval type-2 fuzzy system; chaos synchronization; fuzzy neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6359607
Filename :
6359607
Link To Document :
بازگشت