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On sampled-data control for stabilization of genetic regulatory networks with leakage delays

机译:具有泄漏延迟的稳定基因调控网络的采样数据控制

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摘要

The leakage delay has large impacts on the dynamical behavior of genetic regulatory networks (GRNs) and can bring tendency to destabilize systems. This paper is concerned with the stabilization of genetic regulatory networks with leakage delays. Some novel conditions for stabilizing the GRNs are obtained based on Lyapunov method. The sampled-data controller is designed by solving linear matrix inequalities (LMIs). Two numerical examples are given to demonstrate the effectiveness of the theoretical results.
机译:泄漏延迟对遗传调控网络(GRN)的动力学行为有很大影响,并可能带来破坏系统稳定性的趋势。本文涉及具有泄漏延迟的遗传调控网络的稳定。基于Lyapunov方法获得了一些稳定GRN的新条件。采样数据控制器是通过求解线性矩阵不等式(LMI)设计的。给出了两个数值例子来说明理论结果的有效性。

著录项

  • 来源
    《Neurocomputing》 |2015年第ptac期|1225-1231|共7页
  • 作者

    Li Li; Yongqing Yang;

  • 作者单位

    School of Science, Jiangnan University, Key Laboratory of Advanced Process Control for Light Industry (Jiangnan University), Ministry of Education, Wuxi 214122, PR China;

    School of Science, Jiangnan University, Key Laboratory of Advanced Process Control for Light Industry (Jiangnan University), Ministry of Education, Wuxi 214122, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Genetic regulatory network; Sampled-data control; Stabilization; Leakage delay;

    机译:遗传监管网络;采样数据控制;稳定;泄漏延迟;

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