Global Exponential Stability of Cellular Neural Network with Discrete and Distributed Delays

This paper is concerned with analysis problem for the global exponential stability of a class of recurrent neural networks (RNNs) with mixed discrete and distributed delays. We give the sufficient condition of global exponential stability of cellular neural network with mixed discrete and distributed delays by employing the Lyapunov-Krasovskii functional and Young inequality, in addition, the example is provided to illustrate the applicability of the result.