Dynamics of impulsive neutral-type BAM neural networks

被引:30
作者
Aouiti, Chaouki [1 ,2 ]
Ben Gharbia, Imen [1 ,2 ]
Cao, Jinde [3 ,4 ]
Alsaedi, Ahmed [5 ]
机构
[1] Univ Carthage, Dept Math, Fac Sci Bizerta, Unit Math, UR13ES47,BP W, Bizerte 7021, Zarzouna, Tunisia
[2] Univ Carthage, Dept Math, Fac Sci Bizerta, Unit Applicat, UR13ES47,BP W, Bizerte 7021, Zarzouna, Tunisia
[3] Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China
[4] Southeast Univ, Res Ctr Complex Syst & Network Sci, Nanjing 210096, Jiangsu, Peoples R China
[5] King Abdulaziz Univ, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, Jeddah 21589, Saudi Arabia
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2019年 / 356卷 / 04期
关键词
ALMOST-PERIODIC SOLUTION; TIME-VARYING DELAYS; GLOBAL EXPONENTIAL STABILITY; DISTRIBUTED DELAYS; SYNCHRONIZATION; EXISTENCE; DISCRETE; SYSTEMS;
D O I
10.1016/j.jfranklin.2019.01.028
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this letter, the existence and the global exponential stability of piecewise pseudo almost periodic solutions (PAP(T)) for bidirectional associative memory neural networks (BAMNNs) with time-varying delay in leakage (or forgetting) terms and impulsive are investigated by applying contraction mapping fixed point theorem, the exponential dichotomy of linear differential equations and differential inequality techniques. Furthermore, we give an explanatory example to illustrate the efficiency of the theoretical predictions. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2294 / 2324
页数:31
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