Title of article
Global asymptotic stability for a class of nonlinear neural networks with multiple delays Original Research Article
Author/Authors
Yi-Lang Hou، نويسنده , , Teh-Lu Liao، نويسنده , , Jun-Juh Yan، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2007
Pages
4
From page
3037
To page
3040
Abstract
This paper investigates the global asymptotic stability (GAS) for a class of nonlinear neural networks with multiple delays. Based on Lyapunov stability theory and the linear matrix inequality (LMI) technique, a less conservative delay-dependent stability criterion is derived. The present result is shown to be less conservative than those given in the literature.
Keywords
Linear matrix inequality (LMI) , Neural networks , Lyapunov stability theory , Global asymptotic stability (GAS)
Journal title
Nonlinear Analysis Theory, Methods & Applications
Serial Year
2007
Journal title
Nonlinear Analysis Theory, Methods & Applications
Record number
859953
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