Finite-Time Boundedness Analysis of a Class of Neutral Type Neural Networks with Time Delays

被引：0
|
作者：
Wang, Jianfeng [1 ]
Jian, Jigui [1 ]
Yan, Peng [1 ]
机构：
[1] China Three Gorges Univ, Inst Nonlinear & Complex Syst, Yichang 443002, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 1, PROCEEDINGS | 2009年 / 5551卷
关键词：
Finite time boundness; Neural network; Neutral type; Time-delay; Linear matrix inequality; DEPENDENT EXPONENTIAL STABILITY;
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 finite time boundedness (FTB) for certain and uncertain neutral type neural networks are investigated. concept of FTB for time delay system is extended first. Then, based on the Lyapunov stability theory and linear matrix inequality (LMI) technique, some sufficient conditions are derived to guarantee FTB, and our results me less conservative than exiting results. Finally, some examples are given to demonstrate the effectiveness and improvement of the proposed results.
引用
收藏
页码：395 / 404
页数：10
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