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 :
بازگشت