Stability Analysis for Neural Networks with Time-variable Delays

被引：1
|
作者：
Wu, Haixia [1 ,2 ]
Feng, Wei [2 ]
Zhang, Wei [2 ]
机构：
[1] Chongqing Univ, Coll Comp Sci & Engn, Chongqing 400044, Peoples R China
[2] Chongquing Educ Coll, Dept Comp & Modern Technol, Chongqing, 400067, Peoples R China
来源：
ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 2, PROCEEDINGS | 2008年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/ICNC.2008.551
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 (NNs) with time-varying delays is investigated. By introducing a new Lyapunov-Krasovskii functional in virtue of the linearization of the model under investigation and considering the additional useful terms when estimating the upper bound of the derivative of Lyapunov functional, a new delay-dependent stability criterion is established in term of linear matrix inequality (LMI). Some numerical simulation examples aimed at justifying the theoretical results are also given.
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页码：547 / +
页数：2
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