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Neural Computing and Applications
Published in: Neural Computing and Applications 4/2010

01-06-2010 | Original Article

Algebraic condition of synchronization for multiple time-delayed chaotic Hopfield neural networks

Authors: Hanlin He, Jianjun Tu

Published in: Neural Computing and Applications | Issue 4/2010

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Abstract

In this paper, an easy and efficient method is brought forward to design the feedback control for the synchronization of two multiple time-delayed chaotic Hopfield neural networks, whose activation functions and delayed activation functions can have different forms of mapping. Without many complex restrictions and Lyapunov analytic process, the feedback control is given based on the M-matrix theory, the system parameters and the feedback section coefficients. All the results are simulated by Matlab and Simulink, which shows the simplicity and validity of the control. As shown in the simulation results, the error systems converge to zero rapidly.
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Metadata
Title
Algebraic condition of synchronization for multiple time-delayed chaotic Hopfield neural networks
Authors
Hanlin He
Jianjun Tu
Publication date
01-06-2010
Publisher
Springer-Verlag
Published in
Neural Computing and Applications / Issue 4/2010
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-009-0306-7

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