Global stability for neural networks of neutral-type with interval time-varying delays

In this paper, the global asymptotic stability of delayed cellular neural networks of neutral-type is investigated. The delay is assumed to be time-varying and belongs to a given interval. A novel delay-dependent criterion for the stability using the Lyapunov stability theory and linear matrix inequality (LMI) framework is presented. Two numerical examples are given to show the effectiveness of proposed method.