Passivity Analysis of Neural Networks with Discrete and Distributed Delays

被引：0

作者：

Wang, Wei ^{[1
]}

Zeng, Hongbing ^{[2
]}

Xiao, Shenping ^{[2
]}

机构：

[1] Hunan Railway Profess Technol Coll, Zhuzhou 412001, Peoples R China

[2] Hunan Univ Technol, Sch Elect & Informat Engn, Zhuzhou 412007, Peoples R China

来源：

2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年

关键词：

Passivity; Neural networks; Delay-dependent; Lyapunov-Krasovskii functional; GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; DEPENDENT STABILITY; CRITERIA;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study is concerned with the problem of delay-dependent passivity analysis for neural networks with discrete and distributed delays. By employing a new integral inequality and the convex combination approach to estimate the derivative of Lyapunov-Krasovskii functional, sufficient conditions are established to ensure that the considered neural network is passive. A given numerical example demonstrates the effectiveness of the proposed method.

引用

页码：2923 / 2927

页数：5

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