Exponential Stability of Stochastic Dynamic Memristor Delayed Cellular Neural Networks in the Flux-Charge Domain

Throughout this paper, the global stability of the dynamic memristor(DM)-delayed cellular neural networks(DCNNs) in stochastic phenomenon is studied, according to the flux-charge analytical method. By utilizing the stochastic analysis technique and constructing the proper Lyapunov functions, some sufficient criteria are proposed to obtain the exponential stability of the stochastic DM-DCNNs in flux-charge domain.