Robust impulsive synchronization of coupled delayed neural networks with uncertainties

This paper investigates the synchronization scheme of coupled neural networks with time delays. The coupling function, which can be linear or nonlinear, is subject to uncertainties in the network. By utilizing the stability theory for impulsive functional differential equations, several new criteria...

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Bibliographic Details
Published inPhysica A Vol. 373; pp. 261 - 272
Main Authors Li, Ping, Cao, Jinde, Wang, Zidong
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2007
Subjects
Coupled network
Delayed neural networks
Impulsive control
Robust synchronization
Robust synchronization
Impulsive control
Coupled network
Delayed neural networks
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Summary:This paper investigates the synchronization scheme of coupled neural networks with time delays. The coupling function, which can be linear or nonlinear, is subject to uncertainties in the network. By utilizing the stability theory for impulsive functional differential equations, several new criteria are obtained to ensure the robust synchronization of coupled networks via impulsive control. Furthermore, an estimation of the predicted stable region is derived to facilitate the design of the control gain. Finally, numerical simulations are presented to demonstrate the effectiveness of our results.
ISSN:0378-4371
1873-2119
DOI:10.1016/j.physa.2006.05.029