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