Stability property of impulsive inertial neural networks with unbounded time delay and saturating actuators

This paper considers the stability property of impulsive inertial neural networks with unbounded delay and saturating actuators. Based on polytopic representation approach, some sufficient conditions to ensure global asymptotic stability are obtained for impulsive inertial neural networks. By using Lyapunov function with the matrix form of 2-norm, we obtain some conditions to ensure the stability of impulsive inertial neural networks. Finally, the validity of this method is verified by several simulation examples.