Novel Global Exponential Stability Analysis for BAM Neural Networks with Time-Varying Delays

被引：0

作者：

Chen, Yonggang ^{[1
]}

Huang, Shoujia ^{[2
]}

Yin, Jingben ^{[1
]}

Li, Qingbo ^{[2
]}

机构：

[1] Henan Inst Sci & Technol, Dept Math, Xinxiang 453003, Peoples R China

[2] Zhengzhou Univ Light Ind, Dept Math & Informat Sci, Zhengzhou 450002, Peoples R China

来源：

CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年

关键词：

Exponential stability; BAM neural networks; Time-varying delays; Linear matrix inequalities (LMIs); BIDIRECTIONAL ASSOCIATIVE MEMORIES; ASYMPTOTIC STABILITY; ROBUST STABILITY; CRITERION;

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 paper considers the global exponential stability problem for a class of bidirectional associative memory (BAM) neural networks time-varying delays. By employing Lyapunov functional method and resorting to the less conservative. technique for estimating the derivative of Lyapunov functional, the improved delay-dependent exponential stability criterion is derived in terms of linear matrix inequalities (LMIs). Numerical example is presented to illustrate the less conservativeness of the obtained result.

引用

页码：4355 / +

页数：2

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