Global robust stability analysis for uncertain stochastic neural networks of neutral-type with time-varying delays

In this paper, by employing the Lyapunov-Krasovskii functional method, we investigate the global robust stability analysis problem for uncertain stochastic neural networks of neutral-type with time-varying delays. A new stability criterion is proposed in terms of linear matrix inequality (LMI). An example is given to show the effectiveness of the obtained results using LMI control toolbox in MATLAB.