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.