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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 6/2013

01.05.2013 | Original Article

Synchronization of unknown chaotic neural networks with stochastic perturbation and time delay in the leakage term based on adaptive control and parameter identification

verfasst von: Qintao Gan

Erschienen in: Neural Computing and Applications | Ausgabe 6/2013

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Abstract

In this paper, we investigate the synchronization problem of chaotic neural networks with unknown parameters, stochastic perturbation and time delay in the leakage term. A simple and robust adaptive controller is designed such that the response system can be synchronized with a drive system with unknown parameters by utilizing Lyapunov stability theory and parameter identification. Our synchronization criteria are easily verified and do not need to solve any linear matrix inequality. This research also demonstrates the effectiveness of application in secure communication. Numerical simulations are carried out to illustrate the main results.
Vorheriger Artikel A projective general linear group based algorithm for the construction of substitution box for block ciphers
Nächster Artikel A fuzzy linear programming model for risk evaluation in failure mode and effects analysis

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Metadaten
Titel
Synchronization of unknown chaotic neural networks with stochastic perturbation and time delay in the leakage term based on adaptive control and parameter identification
verfasst von
Qintao Gan
Publikationsdatum
01.05.2013
Verlag
Springer-Verlag
Erschienen in
Neural Computing and Applications / Ausgabe 6/2013
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-012-0871-z

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