• 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