A new method for robust stability analysis of a class of recurrent neural networks with time delays

被引：0
|
作者：
Zhang, HG [1 ]
Wang, G [1 ]
机构：
[1] Northeastern Univ, Inst Informat Sci & Engn, Shenyang 110004, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1 | 2004年 / 3173卷
关键词：
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, based on the state equations of neural networks and existing theorems, we discuss a class of recurrent neural networks with time delays and investigate their robust stability of the equilibrium point for this system. A new method to analyze the robust stability under disturbance of structure of recurrent neural networks with time delays is presented, and a sufficient condition guaranteeing the robust stability is derived, which provides the theoretical basis for designing a system.
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页码：49 / 54
页数：6
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