DocumentCode
1957380
Title
LMI-based fuzzy chaotic synchronization and communication
Author
Chiang, Tung-sheng ; Kuang-Yow Lian ; Liu, Pcter ; Chian-Song Chiu
Author_Institution
Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan
Volume
2
fYear
2000
fDate
2000
Firstpage
900
Abstract
This paper presents linear matrix inequalities (LMI) based fuzzy chaotic synchronization and communication. We propose a modulated Takagi-Sugeno (T-S) fuzzy model. The modulated T-S fuzzy model is constructed by choosing the common factor or the only one variable of nonlinear terms in chaotic systems as the premise variable of fuzzy rules and output signal. Following this model, some restricting conditions required in Tanaka et al. (1998) can be relaxed. This simplified design framework can be applied to many well-known chaotic systems. Also, for chaotic communications, this modulated T-S fuzzy model illustrates asymptotical recovering of the message
Keywords
chaos; fuzzy logic; fuzzy set theory; matrix algebra; nonlinear systems; synchronisation; telecommunication; Takagi-Sugeno model; chaos; chaotic systems; communications; fuzzy chaotic synchronization; fuzzy model; linear matrix inequality; message recovering; nonlinear systems; Cellular neural networks; Chaos; Chaotic communication; Fuzzy control; Fuzzy sets; Fuzzy systems; State feedback;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1098-7584
Print_ISBN
0-7803-5877-5
Type
conf
DOI
10.1109/FUZZY.2000.839151
Filename
839151
Link To Document