Title of article
Improved global robust exponential stability criteria for interval neural networks with time-varying delays
Author/Authors
Shao، نويسنده , , Jin-Liang and Huang، نويسنده , , Ting-Zhu and Wang، نويسنده , , Xiao-Ping، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
7
From page
15587
To page
15593
Abstract
In this paper, by developing a new approach based on H-matrix theory, some improved sufficient conditions for global robust exponential stability of interval neural networks with time-varying delays are presented. Theoretic analysis shows that our results improve and generalize some previously published ones. Finally, some numerical examples are given to show the effectiveness of the obtained results.
Keywords
H-matrix , Global robust exponential stability , Linear matrix inequality (LMI) , Interval neural networks
Journal title
Expert Systems with Applications
Serial Year
2011
Journal title
Expert Systems with Applications
Record number
2350762
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