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• W2014182548 abstract "In this paper, we study the mean square exponential stability of stochastic genetic regulatory networks with time-varying delays. Two kinds of time-varying delays are considered: one is differentiable with bounded delay derivative the other is continuous without constraints on the delay derivative. In order to investigate the mean square exponential stability in stochastic genetic regulatory networks, some novel rate-dependent/independent mean square exponential stability criteria are derived by constructing Lyapunov-Krasovskii functional. The sufficient conditions are given in terms of linear matrix inequalities. Moreover, illustrative examples are used to substantiate the effectiveness and less conservativeness of our results." @default.
• W2014182548 created "2016-06-24" @default.
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• W2014182548 date "2011-02-15" @default.
• W2014182548 modified "2023-09-24" @default.
• W2014182548 title "Mean square exponential stability of stochastic genetic regulatory networks with time-varying delays" @default.
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• W2014182548 doi "https://doi.org/10.1016/j.ins.2010.10.007" @default.
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