Adaptive Integral Observer-Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-19
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Li, Xiuchun& Gu, Jianhua& Xu, Wei. 2013. Adaptive Integral Observer-Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-476573
Modern Language Association (MLA)
Li, Xiuchun…[et al.]. Adaptive Integral Observer-Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances. Journal of Applied Mathematics No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-476573
American Medical Association (AMA)
Li, Xiuchun& Gu, Jianhua& Xu, Wei. Adaptive Integral Observer-Based Synchronization for Chaotic Systems with Unknown Parameters and Disturbances. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-476573
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476573