New LMI conditions for delay-dependent asymptotic stability of delayed Hopfield neural networks

In this paper, new delay-dependent asymptotic stability conditions for delayed Hopfield neural networks are given in terms of a linear matrix inequality, which are less conservative than existing ones in the literature. The conditions guarantee the existence of a unique equilibrium point and its global asymptotic stability of a given delayed Hopfield neural network.