LMI-based approach for global exponential robust stability for reaction-diffusion uncertain neural networks with time-varying delay

Global exponential robust stability is considered for a class of reaction-diffusion uncertain neural networks with time-varying delays. The purpose of the problem addressed is to establish some easy-to-test criteria for global exponential robust stability for the uncertain systems by means of a new Lyapunov-Krasovskii functional and a linear matrix inequality (LMI). A numerical example is exploited to show the usefulness of the derived LMI-based stability conditions.