• DocumentCode
    2238629
  • Title

    New improvement results of synchronizing IFS using almost sure stability

  • Author

    Ben Abdelbari, S. ; Ezzine, J.

  • Author_Institution
    Signals & Syst. Lab., Tunis El Manar Univ., Tunis, Tunisia
  • fYear
    2011
  • fDate
    15-17 Sept. 2011
  • Firstpage
    99
  • Lastpage
    103
  • Abstract
    The problem of synchronizing chaotic iterated functions system is addressed in this paper. First, a new representation of the observation error system is provided using time scaling approach. Then, based on almost sure stability, a new structure of the observer gains is stated in order to take into account the stochastic jump sequence between one system form to another. The associated design method is established in term of optimization problem under linear matrix inequalities constraints. By computing the top Lyapunov exponent, we show through examples that the proposed approach improve noticeably some existing results.
  • Keywords
    Lyapunov methods; chaos; iterative methods; linear matrix inequalities; observers; optimisation; sequences; stability; stochastic processes; IFS; Lyapunov exponent; almost sure stability; chaotic iterated functions system; linear matrix inequalities; observation error system; observer gains; optimization; stochastic jump sequence; synchronization; time scaling; Indexes; Markov processes; Observers; Stability criteria; Synchronization; Upper bound; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Intelligent Informatics (ISCIII), 2011 5th International Symposium on
  • Conference_Location
    Floriana
  • Print_ISBN
    978-1-4577-1860-1
  • Type

    conf

  • DOI
    10.1109/ISCIII.2011.6069750
  • Filename
    6069750