LMI optimization approach on stability for delayed neural networks of neutral-type

摘要

In this paper, the global asymptotic stability of delayed cellular neural networks of neutral-type is investigated. A novel delay-dependent criterion for the stability using the Lyapunov stability theory and linear matrix inequality (LMI) framework is presented. Since the condition is dependent on the size of time delay, it is usually less conservative than delay-independent ones. Two numerical examples are given to show the effectiveness of proposed method.