Delay-difference-dependent robust exponential stability for uncertain stochastic neural networks with multiple delays

This paper deals with the problem of robust exponential stability for a class of uncertain stochastic neural networks with multiple delays. Based on the multiple-difference-dependent Lyapunov–Krasovskii functional and free-weighting matrices method, some novel stability criteria for the addressed uncertain stochastic neural networks are derived. At last, two numerical examples are presented to show the effectiveness and improvement of the proposed results.