Mittag-leffler stabilization of impulsive fractional-order neural networks with continuous and distributed delays

This paper discuss Mittag-Leffler stabilization for a class of impulsive fractional-order neural networks with continuous and distributed delays. By using several control strategy and inequality technique, some novel criteria are obtained to ensure Mittag-Leffler stabilization about the controlled neural networks below the two classes of control laws. Moreover, effects of the two classes of control laws are explored. Finally, some simulation examples show the effectiveness of the presented results.