Dissipativity analysis of neural networks with time-varying delays

被引：18

作者：

Sun Y. ^{[1
]}

Cui B.-T. ^{[1
]}

机构：

[1] School of Communication and Control Engineering, Jiangnan University, Wuxi

来源：

International Journal of Automation and Computing | 2008年 / 5卷 / 3期

基金：

中国国家自然科学基金; 澳大利亚研究理事会;

关键词：

Dissipativity; Lyapunov functional; Neural network;

D O I：

10.1007/s11633-008-0290-x

中图分类号：

学科分类号：

摘要：

A new definition of dissipativity for neural networks is presented in this paper. By constructing proper Lyapunov functionals and using some analytic techniques, sufficient conditions are given to ensure the dissipativity of neural networks with or without time-varying parametric uncertainties and the integro-differential neural networks in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the obtained results. © 2008 Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH.

引用

页码：290 / 295

页数：5

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