LMI-based fuzzy chaotic synchronization and communication
- Resource Type
- Conference
- Authors
- Tung-Sheng Chiang; Kuang-Yow Lian; Peter Liu; Chian-Song Chiu
- Source
- Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063) Fuzzy systems Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on. 2:900-905 vol.2 2000
- Subject
- Computing and Processing
Chaotic communication
Chaos
Fuzzy systems
Fuzzy control
Fuzzy sets
Cellular neural networks
State feedback
- Language
- ISSN
- 1098-7584
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.