On passivity analysis for stochastic neural networks with interval time-varying delay

The passivity problem of stochastic neural networks (SNNs) with interval time-varying delay and norm-bounded parameter uncertainties is investigated in this paper. By constructing appropriate Lyapunov–Krasovskii functional and employing an improved inequality, some delay-dependent passivity criteria are obtained in the linear matrix inequality (LMI) format. The main contribution of this paper is that a tighter upper bound of the differential of Lyapunov–Krasovskii functional is obtained by an improved approximation method. Numerical examples are given to illustrate the effectiveness and less conservatism of the proposed method.