An Improved Delay-dependent Stability Criteria for Recurrent Neural Networks with Time-varying Delay

被引：0

作者：

Wang, Zhuo ^{[1
]}

Wang, Chenghong ^{[2
]}

Song, Su ^{[2
]}

机构：

[1] Univ Illinois, Dept Elect & Comp Engn, Chicago, IL 60607 USA

[2] Natural Natl Sci Fdn, Dept Informat Sci, Beijing 1000085, Peoples R China

来源：

PROCEEDINGS OF THE 2008 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL | 2008年

关键词：

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：

Combining the concept of sampling control with free weight matrix method, two delay-dependent asymptotic stability criteria are presented for the equilibrium point of a class of recurrent neural networks with time varying delay. The obtained results can be suitable for fast or slowly time-varying delayed recurrent neural networks, and larger upper bound of time delay can be admitted. Comparisons are made by a numerical example to show the effectiveness of the obtained results.

引用

页码：132 / +

页数：2

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