Exponential Stability of Weighted Pseudo Almost Periodic Solutions for HCNNs with Mixed Delays

被引：16
|
作者：
Xu, Yanli [1 ]
机构：
[1] Xiangnan Univ, Sch Math Finance, Chenzhou 423000, Hunan, Peoples R China
来源：
NEURAL PROCESSING LETTERS | 2017年 / 46卷 / 02期
关键词：
High-order cellular neural networks; Weighted pseudo almost periodic solution; Exponential stability; Mixed delay; NEURAL-NETWORKS; LEAKAGE DELAYS; CONVERGENCE; TERMS; HRNNS; CNNS;
D O I：
10.1007/s11063-017-9595-5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper deals with a class of high-order cellular neural networks with mixed delays. By using fixed point theorem and differential inequality technique, several sufficient conditions for the existence and exponential stability of weighted pseudo almost periodic solutions for the addressed model are established. Moreover, an example with its numerical simulation is given to demonstrate the effectiveness and improvements of the proposed results.
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页码：507 / 519
页数：13
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