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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.
This paper deals with the problem of robust stability analysis for uncertain stochastic neural networks with time-varying delay. Based on the Lyapunov-Krasovskii functional theory and the free-weighting matrices method, the delay-dependent criteria are proposed in terms of linear matrix inequality (LMI). Two examples are given to show the less conservativeness of the obtained conditions.
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