Global asymptotic stability for cellular neural networks with discrete and distributed time-varying delays

The global asymptotic stability for a class of uncertain delayed cellular neural networks (DCNN) with discrete and distributed time-varying delays is considered in this paper. Delay-dependent criteria are proposed to guarantee the robust stability of DCNN via LMI approach. A numerical example is illustrated to show the effectiveness of our results.