Impulsive hybrid discrete-time Hopfield neural networks with delays and multistability analysis

被引：103

作者：

Kaslik, Eva ^{[2
,3
]}

Sivasundaram, Seenith ^{[1
]}

机构：

[1] Embry Riddle Aeronaut Univ, Dept Math, Daytona Beach, FL 32114 USA

[2] Inst eAustria Timisoara, Timisoara 300223, Romania

[3] W Univ Timisoara, Dept Math & Comp Sci, Timisoara 300223, Romania

来源：

NEURAL NETWORKS | 2011年 / 24卷 / 04期

关键词：

Hopfield-type neural networks; Discrete time; Distributed delays; Impulses; Lyapunov functionals; Multistability; Simulation; Hybrid; Delay kernels; GLOBAL EXPONENTIAL STABILITY; CONTINUOUSLY DISTRIBUTED DELAYS; LINEAR TRANSFER-FUNCTIONS; ACTIVATION FUNCTIONS; MEMORY; COUNTERPARTS; CONVERGENCE; DYNAMICS; ANALOGS;

D O I：

10.1016/j.neunet.2010.12.008

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we investigate multistability of discrete-time Hopfield-type neural networks with distributed delays and impulses, by using Lyapunov functionals, stability theory and control by impulses. Example and simulation results are given to illustrate the effectiveness of the results. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：370 / 377

页数：8

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