Title of article
Some improved criteria for global robust exponential stability of neural networks with time-varying delays
Author/Authors
Shao، نويسنده , , Jin-Liang and Huang، نويسنده , , Ting-Zhu and Zhou، نويسنده , , Sheng، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
13
From page
3782
To page
3794
Abstract
In this paper, some sufficient conditions for global robust exponential stability of interval neural networks with time-varying delays are presented. It is shown that our results include some counterparts of the previous literatures. On basis of the obtained results, some linear matrix inequality (LMI) criteria are derived. Moreover, three numerical examples and a simulation are given to show the effectiveness of the obtained results.
Keywords
Nonnegative matrix , Linear matrix inequality , Halanay inequality , Interval neural networks , Time-varying delays , Global robust exponential stability
Journal title
Communications in Nonlinear Science and Numerical Simulation
Serial Year
2010
Journal title
Communications in Nonlinear Science and Numerical Simulation
Record number
1535485
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