Adaptive Integral Observer-Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances

Considering the effects of external perturbations on the state vector and the output of the original system, this paper proposes a new adaptive integral observer method to deal with chaos synchronization between the drive and response systems with unknown parameters. The analysis and proof are given...

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Main Authors: Xiuchun Li, Jianhua Gu, Wei Xu
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/501421
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author Xiuchun Li
Jianhua Gu
Wei Xu
author_facet Xiuchun Li
Jianhua Gu
Wei Xu
author_sort Xiuchun Li
collection DOAJ
description Considering the effects of external perturbations on the state vector and the output of the original system, this paper proposes a new adaptive integral observer method to deal with chaos synchronization between the drive and response systems with unknown parameters. The analysis and proof are given by means of the Lyapunov stability theorem and Barbalat lemma. This approach has fewer constraints because many parameters related to chaotic system can be unknown, as shown in the paper. Numerical simulations are performed in the end and the results show that the proposed method is not only suitable to the representative chaotic systems but also applied to some neural network chaotic systems.
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institution Kabale University
issn 1110-757X
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language English
publishDate 2013-01-01
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spelling doaj-art-dcb9d59cb98d4c74aa50bd27e2fc11b62025-02-03T00:59:35ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/501421501421Adaptive Integral Observer-Based Synchronization for Chaotic Systems with Unknown Parameters and DisturbancesXiuchun Li0Jianhua Gu1Wei Xu2Centre for High Performance Computing, Northwestern Polytechnical University, Xi’an 710072, ChinaCentre for High Performance Computing, Northwestern Polytechnical University, Xi’an 710072, ChinaDepartment of Applied Mathematics, Northwestern Polytechnical University, Xi’an 710072, ChinaConsidering the effects of external perturbations on the state vector and the output of the original system, this paper proposes a new adaptive integral observer method to deal with chaos synchronization between the drive and response systems with unknown parameters. The analysis and proof are given by means of the Lyapunov stability theorem and Barbalat lemma. This approach has fewer constraints because many parameters related to chaotic system can be unknown, as shown in the paper. Numerical simulations are performed in the end and the results show that the proposed method is not only suitable to the representative chaotic systems but also applied to some neural network chaotic systems.http://dx.doi.org/10.1155/2013/501421
spellingShingle Xiuchun Li
Jianhua Gu
Wei Xu
Adaptive Integral Observer-Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances
Journal of Applied Mathematics
title Adaptive Integral Observer-Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances
title_full Adaptive Integral Observer-Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances
title_fullStr Adaptive Integral Observer-Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances
title_full_unstemmed Adaptive Integral Observer-Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances
title_short Adaptive Integral Observer-Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances
title_sort adaptive integral observer based synchronization for chaotic systems with unknown parameters and disturbances
url http://dx.doi.org/10.1155/2013/501421
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AT jianhuagu adaptiveintegralobserverbasedsynchronizationforchaoticsystemswithunknownparametersanddisturbances
AT weixu adaptiveintegralobserverbasedsynchronizationforchaoticsystemswithunknownparametersanddisturbances