Global robust exponential stability analysis for interval neural networks with time-varying delays

The problem of the global robust exponential stability of interval neural networks with the time-varying delays is investigated. New stability criteria for such problem are derived by an approach combining the Lyapunov-Krasovskii functional with the linear matrix inequality. The effectiveness of the present results is demonstrated by two numerical examples.