Passivity analysis of integro-differential neural networks with time-varying delays

被引：65
作者：
Lou, Xuyang [1 ]
Cui, Baotong [1 ]
机构：
[1] So Yangtze Univ, Res Ctr Control Sci & Engn, Wuxi 214122, Jiangsu, Peoples R China
来源：
NEUROCOMPUTING | 2007年 / 70卷 / 4-6期
基金：
中国国家自然科学基金;
关键词：
integro-differential neural network; passivity; delays; linear matrix inequality; Lyapunov functional;
D O I：
10.1016/j.neucom.2006.09.007
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper discusses the passivity for integro-differential neural networks with time-varying delays. By constructing proper Lyapunov functionals and using some analytic techniques, several sufficient conditions are given to ensure the passivity of the integro-differential neural networks with time-varying delays. The passivity conditions are presented in terms of linear matrix inequalities (LMIs), which can be easily solved by using the effective interior-point algorithm. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码：1071 / 1078
页数：8
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