Analysis of Global Asymptotic Stability and Pseudo Almost Periodic Solution of a Class of Chaotic Neural Networks

被引：10

作者：

Cherif, Farouk ^{[1
,2
]}

机构：

[1] Univ Sousse, Cite Taffala Ibn Khaldou 4003, Sousse, Tunisia

[2] Ecole Super Sci & Technol, Hammam Sousse 4011, Tunisia

来源：

MATHEMATICAL MODELLING AND ANALYSIS | 2013年 / 18卷 / 04期

关键词：

almost periodic functions; mathematical model; neural networks; contraction mapping principle; delay; TIME-VARYING DELAYS; CONTINUOUSLY DISTRIBUTED DELAYS; EXPONENTIAL STABILITY; DIFFERENTIAL-EQUATIONS; NEUTRAL DELAYS; EXISTENCE; SYNCHRONIZATION;

D O I：

10.3846/13926292.2013.840686

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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.

引用

页码：489 / 504

页数：16

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