Robust Stability of Stochastic Genetic Regulatory Networks with Time-Varying Delays

In this paper, the global robust asymptotical stability of delayed genetic regulatory networks with stochastic disturbance and SUM regulatory functions is studied. Time delays are assumed to be time-varying and differentiable, the parameter uncertainties are time-varying and norm-bounded. Based on the Lypapunov method and Lur'e system approach, sufficient conditions are given to ensure the stability of the genetic regulatory networks. All the stability conditions are given in terms of LMIs which are easy to be verified. Illustrative example is presented to show the effectiveness of the obtained results.

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