Analysis of global asymptotic stability and pseudo almost periodic solution of a class of chaotic neural networks

    Farouk Cherif Info

Abstract

In this paper we give sufficient conditions ensuring the existence and uniqueness of pseudo almost periodic solution of a class of delayed chaotic neural networks. Further, we study the global asymptotic stability (GAS) of the considered model and give a set of criteria on (GAS) by constructing new Lyapunov functional.

Keywords:

almost periodic functions, mathematical model, neural networks, contraction mapping principle, delay

How to Cite

Cherif, F. (2013). Analysis of global asymptotic stability and pseudo almost periodic solution of a class of chaotic neural networks. Mathematical Modelling and Analysis, 18(4), 489-504. https://doi.org/10.3846/13926292.2013.840686

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September 1, 2013
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2013-09-01

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How to Cite

Cherif, F. (2013). Analysis of global asymptotic stability and pseudo almost periodic solution of a class of chaotic neural networks. Mathematical Modelling and Analysis, 18(4), 489-504. https://doi.org/10.3846/13926292.2013.840686

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