Title of article
Stability Criteria for Stochastic Recurrent Neural Networks with Two Time-Varying Delays and Impulses
Author/Authors
R.Raja، نويسنده , , S.Marshal Anthoni، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
8
From page
28
To page
35
Abstract
This paper is concerned with a stability problem for a class of stochastic recurrent impulsive neural networks with both discrete and distributed time-varying delays. Based on Lyapunov-Krasovskii functional and the linear matrix inequality (LMI) approach, we analyze the global asymptotic stability of impulsive neural networks. Two numerical examples are given to illustrate the effectiveness of the stability results.
Keywords
Global asymptotic stability , Linear matrix inequality , Lyapunov-Krasovskii functional , Distributed delays , Time-varying delays , Impulsive , Stochastic recurrent neural networks
Journal title
International Journal of Computer Applications
Serial Year
2010
Journal title
International Journal of Computer Applications
Record number
658384
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