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