Abstract
This paper is concerned with the stability analysis problem for a class of discrete-time stochastic recurrent neural networks with mixed time delays. Based on the delay partitioning idea, a novel Lyapunov-Krasvskii functional is introduced. A new stability criterion is obtained by utilizing a free-weighting matrix method and some inequalities, which is characterized in terms of linear matrix inequalities (LMIs).
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