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Stability analysis for switched genetic regulatory networks: An average dwell time approach

机译:交换遗传调控网络的稳定性分析:平均停留时间方法

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摘要

In this correspondence, the problem of exponential stability for switched genetic regulatory networks (GRNs) with time delays is investigated. The GRNs are composed of N modes and the network switches from one mode to another. By employing the piecewise Lyapunov functional method combined with the average dwell time approach and by vising a novel Lyapunov-Krasovskii functional (LKF), sufficient criteria are given to ensure the exponential stability for the switched GRNs with constant and time-varying delays, respectively. These criteria are proved to be much less conservative than the most recent results, since the results reported in this paper not only depend on the delay bounds, but also depend on the partitioning. All the conditions presented here are in the form of matrix inequalities which are easy to be verified via the Matlab toolbox. Two examples are provided in the end of this paper to illustrate the effectiveness of the obtained theoretical results.
机译:在这种对应关系中,研究了具有时间延迟的交换遗传调控网络(GRN)的指数稳定性问题。 GRN由N个模式组成,网络从一种模式切换到另一种模式。通过采用分段Lyapunov泛函方法与平均停留时间方法相结合,并提出新颖的Lyapunov-Krasovskii泛函(LKF),给出了足够的标准来确保分别具有恒定和时变延迟的开关GRN的指数稳定性。这些标准被证明比最近的结果保守得多,因为本文报道的结果不仅取决于延迟范围,还取决于划分。这里介绍的所有条件都是矩阵不等式的形式,很容易通过Matlab工具箱进行验证。本文最后提供了两个例子来说明所获得的理论结果的有效性。

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  • 来源
    《Journal of the Franklin Institute》 |2011年第10期|p.2718-2733|共16页
  • 作者单位

    Department of Mathematics, Southeast University, Nanjing 210096, PR China;

    Department of Mathematics, Southeast University, Nanjing 210096, PR China;

    Department of Mathematics, Southeast University, Nanjing 210096, PR China;

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  • 入库时间 2022-08-18 02:57:59

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