Exponential synchronization of stochastic Cohen-Grossberg neural networks driven by G-Brownian motion

Abstract This paper investigates the problem of stochastic Cohen–Grossberg neural networks driven by G-Brownian motion (G-SCGNNs, in short). We establish the exponential synchronization of G-SCGNNs by applying inequality technique, kth vertex-G-Lyapunov functions, graph-theory and state feedback control technique. A concrete example is given to verify the obtained theory.

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