文摘
This study examines the problem of robust stability of uncertain stochastic genetic regulatory networks with time-varying delays. The system鈥檚 uncertainties are modeled as both polytopic form and structured linear fractional form. Based on a novel augmented Lyapunov-Krasovskii functional and different integral approaches, new stability conditions have been derived. Furthermore, these stability criteria can be applicable to both fast and slow time-varying delays. Finally, a numerical example is presented to illustrate the effectiveness of the proposed stability conditions.