Delay-Dependent Global Asymptotic Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms

In this paper, the global uniform asymptotic stability is studied for a class of delayed neutral-type neural networks with reaction-diffusion terms. By constructing appropriate Lyapunov-Krasovskii functional and using the linear matrix inequality (LMI) approach, several sufficient conditions are obtained for ensuring the system to be globally uniformly asymptotically stable. A numerical example is given in the end of this paper to demonstrate the effectiveness and applicability of the proposed criteria.