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
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
Journal title :
Expert Systems with Applications
