Almost periodic solution for a neutral-type neural networks with distributed leakage delays on time scales

被引：32
作者：
Du, Bo [1 ,2 ]
Liu, Yurong [1 ,3 ]
Batarfi, Hanan Ali [3 ]
Alsaadi, Fuad E. [4 ]
机构：
[1] Yangzhou Univ, Dept Math, Yangzhou 225002, Jiangsu, Peoples R China
[2] Huaiyin Normal Univ, Dept Math, Huaian 223300, Jiangsu, Peoples R China
[3] King Abdulaziz Univ, Fac Sci, Dept Math, Jeddah 21521, Saudi Arabia
[4] King Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia
来源：
NEUROCOMPUTING | 2016年 / 173卷
关键词：
Neutral-type neural networks; Time scales; Exponential stability; GLOBAL EXPONENTIAL STABILITY; VARYING DELAYS; STATE ESTIMATOR; DISCRETE; DESIGN; SYNCHRONIZATION; EXISTENCE; SYSTEMS; TERMS;
D O I：
10.1016/j.neucom.2015.08.047
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
By using exponential dichotomy theory, contraction mapping principle and discrete-continuous analysis method, we obtain some new sufficient conditions ensuring the existence and global exponential stability of the almost periodic solutions for a class of neutral-type neural networks with distributed leakage delays on time scales. An example is provided to demonstrate the usefulness of the main results obtained. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：921 / 929
页数：9
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