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Adaptive Synchronization between Different Chaotic Systems with Unknown Parameters

Published on June 2013 by M. Srivastava, S. K. Agrawal, V. Mishra
journal_cover_thumbnail

International Conference and workshop on Advanced Computing 2013
Foundation of Computer Science USA
ICWAC - Number 1
June 2013
Authors: M. Srivastava, S. K. Agrawal, V. Mishra
741bd058-f9f4-4ec1-9927-c4015e8d65c2

M. Srivastava, S. K. Agrawal, V. Mishra . Adaptive Synchronization between Different Chaotic Systems with Unknown Parameters. International Conference and workshop on Advanced Computing 2013. ICWAC, 1 (June 2013), 0-0.

@article{
author = { M. Srivastava, S. K. Agrawal, V. Mishra },
title = { Adaptive Synchronization between Different Chaotic Systems with Unknown Parameters },
journal = { International Conference and workshop on Advanced Computing 2013 },
issue_date = { June 2013 },
volume = { ICWAC },
number = { 1 },
month = { June },
year = { 2013 },
issn = 2249-0868,
pages = { 0-0 },
numpages = 1,
url = { /proceedings/icwac/number1/472-1301/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and workshop on Advanced Computing 2013
%A M. Srivastava
%A S. K. Agrawal
%A V. Mishra
%T Adaptive Synchronization between Different Chaotic Systems with Unknown Parameters
%J International Conference and workshop on Advanced Computing 2013
%@ 2249-0868
%V ICWAC
%N 1
%P 0-0
%D 2013
%I International Journal of Applied Information Systems
Abstract

This article deals with synchronization between different chaotic systems such as Genesio-Tesi and Qi system using adaptive control method. Based on Lyapunov stability theory, the synchronization between a pair of chaotic systems with fully unknown parameters is derived. An adaptive control law and a parameter update rule for unknown parameters are designed such that the chaotic Qi system is controlled to be the chaotic Genesio-Tesi system. Numerical simulation results which are carried out using MATLAB, show that the adaptive control method is effective, easy to implement and reliable for synchronizing of the considered chaotic systems.

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Index Terms

Computer Science
Information Sciences

Keywords

Chaos Synchronization Genesio-Tesi system Qi system Adaptive control method