Robust stability of Markovian jumping stochastic neural networks with interval time-varying delay

This paper studies the robust stability problem for a class of Markovian jumping stochastic neural networks (MJSNNs) with interval time-varying delay. Based on Lyapunov-Krasovskii functional and stochastic analysis approach, a new delay-dependent sufficient condition is obtained in the linear matrix inequalities (LMIs) format such that for all admissible uncertainties delayed MJSNNs is globally asymptotically stable in the mean-square sense. The effectiveness of the proposed method is demonstrated by a numerical example.