• 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