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.
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页码:679 / 693
页数:15
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