Exponential Input-to-State Stability (e-ISS) Analysis of Delayed Impulsive Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks (RDCGNNS) with Varying Coefficients

In this article, the e-ISS of delayed impulsive stochastic RDCGNNs with varying coefficients has been studied. In light of Halanay inequalities and using Razumikhin technique, we obtain some new sufficient criteria judging e-ISS of the derived RDCGNNs. A numerical simulation is also discussed to check the efficiency of our main results.