ANALYSIS ON GLOBAL STABILITY OF STOCHASTIC NEURAL NETWORKS OF NEUTRAL TYPE

被引：35

作者：

Park, Ju H. ^{[1
]}

Kwon, O. M. ^{[2
]}

机构：

[1] Yeungnam Univ, Dept Elect Engn, Robust Control & Nonlinear Dynam Lab, Kyongsan 712749, South Korea

[2] Chungbuk Natl Univ, Sch Elect & Comp Engn, Cheongju 361763, South Korea

来源：

MODERN PHYSICS LETTERS B | 2008年 / 22卷 / 32期

关键词：

Stochastic neural networks; neutral delay; linear matrix inequality; Lyapunov method;

D O I：

10.1142/S0217984908017680

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

In this paper, the problem of global asymptotic stability of stochastic neural networks of neutral type is considered. Based on the Lyapunov stability theory, a new delay-dependent stability criterion for the network is derived in terms of LMI (linear matrix inequality). A numerical example is given to show the effectiveness of the proposed method.

引用

页码：3159 / 3170

页数：12

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