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

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, k th vertex- G -Lyapunov functions, graph-theory and state feedback control technique. A concrete example is given to verify the obtained theory. [ABSTRACT FROM AUTHOR]