Global exponential stability of Hopfield neural networks with continuously distributed delays

Abstract A model of Hopfield neural networks (HNN) with continuously distributed delays is considered. A sufficient condition which guarantees global exponential stability (GES) of an equilibrium point is given based on the method of variation parameter and inequality technique. Compared with the previous methods, our method does not resorting to any Lyapunov functionals.

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