Piecewise Pseudo Almost-Periodic Solutions of Impulsive Fuzzy Cellular Neural Networks with Mixed Delays

被引：15

作者：

Aouiti, Chaouki ^{[1
,2
]}

Ben Gharbia, Imen ^{[1
,2
]}

机构：

[1] Univ Carthage, UR13ES47, Dept Math, Res Unit Math,Fac Sci Bizerta, BP W, Zarzouna 7021, Bizerta, Tunisia

[2] Univ Carthage, UR13ES47, Dept Math, Res Unit Applicat,Fac Sci Bizerta, BP W, Zarzouna 7021, Bizerta, Tunisia

来源：

NEURAL PROCESSING LETTERS | 2020年 / 51卷 / 02期

关键词：

Impulses; Fuzzy cellular neural networks; Piecewise pseudo almost-periodic function; Generalized Gronwall-Bellman inequality; GLOBAL EXPONENTIAL STABILITY; NICHOLSONS BLOWFLIES MODEL; TIME-VARYING DELAYS; DISTRIBUTED DELAYS; EXISTENCE; CONVERGENCE; BOUNDEDNESS; OPERATORS;

D O I：

10.1007/s11063-019-10130-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article examines the existence of the unique piecewise pseudo almost periodic for impulsive fuzzy cellular neural networks by using the contraction mapping principle and piecewise pseudo almost periodic function theory. Further, sufficient certain conditions for their global exponential stability are produced through the use of differential inequality and generalized Gronwall-Bellman inequality. Our results are new and complement some previously known ones. Two examples and their numerical simulations are performed to ensure our theoretical results.

引用

页码：1201 / 1225

页数：25

共 47 条

[1] Global exponential stability for impulsive cellular neural networks with time-varying delays [J].