Almost automorphic solution for neutral type high-order Hopfield neural networks with delays in leakage terms on time scales

被引:50
|
作者
Li, Yongkun [1 ]
Yang, Li [1 ]
机构
[1] Yunnan Univ, Dept Math, Kunming 650091, Yunnan, Peoples R China
关键词
Almost automorphic solutions; High-order Hopfield neural networks; Exponential stability; Leakage terms; Time scales; GLOBAL EXPONENTIAL STABILITY; ALMOST-PERIODIC SOLUTIONS; VARYING DELAYS; ANTIPERIODIC SOLUTIONS; ASYMPTOTIC STABILITY; DISTRIBUTED DELAYS; DEPENDENT STABILITY; DYNAMIC EQUATIONS; EXISTENCE; UNIQUENESS;
D O I
10.1016/j.amc.2014.06.052
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, using the existence of the exponential dichotomy of linear dynamic equations on time scales, a fixed point theorem and the theory of calculus on time scales, some sufficient conditions for the existence and global exponential stability of almost automorphic solutions for a class of neutral type high-order Hopfield neural networks (HHNNs) with delays in leakage terms on time scales are obtained. Finally, a numerical example is provided to illustrate the feasibility of our results and our results also show that the continuous-time neural network and its discrete-time analogue have the same dynamical behaviors. The results of this paper are completely new even when the time scale T = R or Z and show that the delays in the leakage term do harm to the existence and global exponential stability of almost automorphic solutions. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:679 / 693
页数:15
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