Stability Analysis for Uncertain Complex-Valued Recurrent Neural Networks

被引：0
|
作者：
Gong, Weiqiang [1 ]
Liang, Jinling [1 ]
Cao, Jinde [1 ]
机构：
[1] Southeast Univ, Dept Math, Nanjing 210096, Jiangsu, Peoples R China
来源：
ADVANCES IN COGNITIVE NEURODYNAMICS (V) | 2016年
关键词：
ROBUST STABILITY; TIME-DELAYS; MODEL;
D O I：
10.1007/978-981-10-0207-6_96
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
This paper addresses the global robust stability problem for the complex-valued recurrent neural networks with time delay, where the system matrix parameters are time-varying within given intervals. Based on the Lyapunov functional method and some properties of the norm of matrices, sufficient criteria are presented to ascertain the global stability of the uncertain neural networks. One numerical example is also provided to illustrate the effectiveness of the obtained results.
引用
收藏
页码：715 / 721
页数：7
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