Stability of Neural Networks with Both Impulses and Time-Varying Delays on Time Scale

被引：0
|
作者：
Lv, Yupei [1 ]
Zhou, Bo [2 ]
Song, Qiankun [2 ]
机构：
[1] Huzhou Teachers Coll, Dept Math, Huzhou 313000, Peoples R China
[2] Chongqing Jiaotong Univ, Dept Math, Chongqing 400074, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT I | 2011年 / 6675卷
基金：
中国国家自然科学基金;
关键词：
Stability; Neural networks; Time-varying delays; Impulses; Time scale;
D O I：
暂无
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, the stability of neural networks with both impulses and time-varying delays on time scale is investigated, the existence of Delta derivative of time-varying delays is not assumed. By employing time scale calculous theory, free weighting matrix method and linear matrix inequality (LMI) technique. a delay-dependent sufficient condition is obtained to ensure the stability of equilibrium point for neural networks with both impulses and time-varying delays on time scale. An example with simulations is given to show the effectiveness of the theory.
引用
收藏
页码：203 / +
页数：3
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