Delay-dependent stability of neutral type neural networks with distributed delays

This paper deals with the problem of stability analysis of neutral type neural networks with both discrete and unbounded distributed delays. In terms of linear matrix inequalities, delay-dependent conditions are obtained, which guarantee the considered delayed neural network to have a unique equilibrium point, which is globally asymptotically stable. Numerical examples are given to show the less conservatism and effectiveness of the proposed stability conditions.