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On Delay-Dependent Exponential Stability of Neutral-Type Neural Networks with Interval Time-Varying Delays

This paper deals with the problem of exponential stability for a class of neutral-type networks with interval time-varying delays. An approach combining the Lyapunov-Krasovskii functional with linear matrix inequality (LMI) is taken in our study. The theoretical analysis and numerical simulations show that our results are effectiveness. It is interested that there is a relationship between the exponential convergence rates with the bound of maximum value of interval time-varying delays.