Stability analysis of delayed cellular neural networks with impulsive effects

This paper focuses on the problem of exponential stability analysis of delayed cellular neural networks (DCNNs) with impulsive effects. The time delay is allowed to be time varying. By utilizing the piecewise linear property of the activation function of DCNNs and applying Razumikhin-type analysis t