New stability criteria for neutral-type Cohen-Grossberg neural networks with discrete and distributed delays

摘要

This paper studies the existence, uniqueness and globally robust exponential stability for a class of uncertain neutral-type Cohen-Grossberg neural networks with time-varying and unbounded distributed delays. Based on Lyapunov-Krasovskii functional, by involving a free-weighting matrix, using the homeomor-phism mapping principle, Cauchy-Schwarz inequality, Jensen integral inequality, linear matrix inequality techniques and matrix decomposition method, several delay-dependent and delay-independent sufficient conditions are obtained for the robust exponential stability of considered neural networks. Two numerical examples are given to show the effectiveness of our results.