Passivity analysis of neural networks with time delay

被引：160

作者：

Li, CG ^{[1
]}

Liao, XF

机构：

[1] Univ Elect Sci & Technol China, Ctr Nonlinear & Complex Syst, Sch Elect Engn, Chengdu 610054, Peoples R China

[2] Chongqing Univ, Inst Comp Sci & Engn, Chongqing 400044, Peoples R China

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2005年 / 52卷 / 08期

关键词：

delay; linear matrix inequality (LMI); neural networks; passivity; uncertainty;

D O I：

10.1109/TCSII.2005.849023

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The passivity conditions for delayed neural networks (DNNs) are considered in this paper. We firstly derive the passivity condition for DNNs without uncertainties, and then extend the result to the case with time-varying parametric uncertainties. The proposed approach is based on a Lyapunov-Krasovskii functional construction. The passivity conditions are presented in terms of linear matrix inequalities, which can be easily solved by using the effective interior-point algorithm. Numerical examples are also given to demonstrate the effectiveness of the theoretical results.

引用

页码：471 / 475

页数：5

共 37 条

[1] Global robust stability of delayed neural networks [J].