Synchronization of Chaotic Delayed Neural Networks via Impulsive Control
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper is concerned with the impulsive synchronization problem of chaotic delayed neural networks.
By employing Lyapunov stability theorem, impulsive control theory and linear matrix inequality (LMI) technique, several new sufficient conditions ensuring the asymptotically synchronization for coupled chaotic delayed neural networks are derived.
Based on these new sufficient conditions, an impulsive controller is designed.
Moreover, the stable impulsive interval of synchronized neural networks is objectively estimated by combining the MATLAB LMI toolbox and one of the two given equations.
Two examples with numerical simulations are given to illustrate the effectiveness of the proposed method.
American Psychological Association (APA)
Fang, Yang& Yan, Kang& Li, Kelin. 2014. Synchronization of Chaotic Delayed Neural Networks via Impulsive Control. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-461936
Modern Language Association (MLA)
Fang, Yang…[et al.]. Synchronization of Chaotic Delayed Neural Networks via Impulsive Control. Journal of Applied Mathematics No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-461936
American Medical Association (AMA)
Fang, Yang& Yan, Kang& Li, Kelin. Synchronization of Chaotic Delayed Neural Networks via Impulsive Control. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-461936
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461936