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
Link To Document :
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