Title of article
Stability analysis for Cohen–Grossberg neural networks with time-varying delays via LMI approach
Author/Authors
Lien، نويسنده , , Chang-Hua and Yu، نويسنده , , Ker-Wei and Lin، نويسنده , , Yen-Feng and Chang، نويسنده , , Hao-Chin and Chung، نويسنده , , Yeong-Jay، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
8
From page
6360
To page
6367
Abstract
The global asymptotic stability for a class of Cohen–Grossberg neural networks (CGNNs) with time-varying delays is investigated. Delay-independent and delay-dependent stability criteria are proposed to guarantee the robust stability and uniqueness of equilibrium point of CGNNs via LMI approach. Some numerical examples are illustrated to show the effectiveness of our results.
Keywords
Global asymptotic stability , Delay-dependent criterion , Delayed Cohen–Grossberg neural networks , Delay-independent criterion
Journal title
Expert Systems with Applications
Serial Year
2011
Journal title
Expert Systems with Applications
Record number
2349327
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