Global exponential stability of Cohen–Grossberg neural networks with distributed delays

In this paper, the exponential stability of Cohen–Grossberg neural networks with distributed delays is investigated. Using the MM-matrix property, the necessary and sufficient condition for the existence, uniqueness and exponential stability of the equilibrium point of the neural networks is obtained. We avoid the difficulty of proving the existence of a positive invariant set as in some previous works.