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：
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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.
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页码：132 / +
页数：2
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