ANALYSIS OF GLOBAL ASYMPTOTIC STABILITY AND PSEUDO ALMOST PERIODIC SOLUTION OF A CLASS OF CHAOTIC NEURAL NETWORKS-Reference-Cited by-同舟云学术

ANALYSIS OF GLOBAL ASYMPTOTIC STABILITY AND PSEUDO ALMOST PERIODIC SOLUTION OF A CLASS OF CHAOTIC NEURAL NETWORKS

Published:2013-09-01 Issue:4 Volume:18 Page:489-504
ISSN:1392-6292
Container-title:Mathematical Modelling and Analysis
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Author:

Cherif Farouk¹

Affiliation:

1. University of Sousse Cite Taala (Ibn Khaldoun), 4003 Sousse, Tunisia; Ecole Superieure des Sciences et de Technologie Avenue Lamine Abassi, 4011 Hammam Sousse, Tunisia

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.

Publisher

Vilnius Gediminas Technical University

Subject

Modeling and Simulation,Analysis

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