Robust stability for discrete-time stochastic genetic regulatory networks

Attention in this paper is focused on the study of the problem of asymptotic stability for a class of discrete-time stochastic genetic regulatory networks with time-varying but norm-bounded parameter uncertainties. By the Lyapunov–Krasovskii functional approach, delay-dependent stability criteria are derived in terms of linear matrix inequalities. Simulation examples are provided to show the effectiveness of the proposed results.