Finite-time stability criteria for a class of fractional-order neural networks with delay

Finite-time stabilities of a class of fractional-order neural networks delayed systems with order and are addressed in this paper, respectively. By using inequality technique, two new delay-dependent sufficient conditions ensuring stability of such fractional-order neural networks over a finite-time interval are obtained. Obtained conditions are less conservative than that given in the earlier references. Two numerical examples are given to show the effectiveness of our proposed method.