DocumentCode :
1466083
Title :
Secure communications of chaotic systems with robust performance via fuzzy observer-based design
Author :
Lian, Kuang-Yow ; Chiu, Chian-song ; Chiang, Tung-sheng ; Liu, Peter
Author_Institution :
Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan
Volume :
9
Issue :
1
fYear :
2001
fDate :
2/1/2001 12:00:00 AM
Firstpage :
212
Lastpage :
220
Abstract :
This paper presents a systematic design methodology for fuzzy observer-based secure communications of chaotic systems with guaranteed robust performance. The Takagi-Sugeno fuzzy models are given to exactly represent chaotic systems. Then, the general fuzzy model of many well-known chaotic systems is constructed with only one premise variable in fuzzy rules and the same premise variable in the system output. Based on this general model, the fuzzy observer of chaotic system is given and leads the stability condition of a linear-matrix inequality problem. When taking the fuzzy observer-based design to applications on secure communications, the robust performance is presented by simultaneously considering the effects of parameter mismatch and external disturbances. Then, the error of the recovered message is stated in an H criterion. In addition, if the communication system is free of external disturbances, the asymptotic recovering of the message is obtained in the same framework. The main results also hold for applications on chaotic synchronization. Numerical simulations illustrate that this proposed scheme yields robust performance
Keywords :
chaos; fuzzy set theory; observers; spread spectrum communication; stability; synchronisation; telecommunication security; H criterion; Takagi-Sugeno fuzzy models; broad spectrum signals; chaotic; fuzzy observer; linear-matrix inequality; secure communications; stability condition; Chaotic communication; Control system synthesis; Design methodology; Fuzzy control; Fuzzy systems; Numerical simulation; Performance analysis; Robustness; Signal processing; Stability;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/91.917127
Filename :
917127
Link To Document :
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