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Delay-Dependent Exponential Stability for Uncertain Neutral Stochastic Systems with Mixed Delays and Markovian Jumping Parameters

机译:具有混合延迟和马尔可夫跳跃参数的不确定中性随机系统的延迟依赖性指数稳定性

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摘要

This paper is mainly concerned with the globally exponential stability in mean square of uncertain neutral stochastic systems with mixed delays and Markovian jumping parameters. The mixed delays are comprised of the discrete interval time-varying delays and the distributed time delays. Taking the stochastic perturbation and Markovian jumping parameters into account, some delay-dependent sufficient conditions for the globally exponential stability in mean square of such systems can be obtained by constructing an appropriate Lyapunov-Krasovskii functional, which are given in the form of linear matrix inequalities (LMIs). The derived criteria are dependent on the upper bound and the lower bound of the time-varying delay and the distributed delay and are therefore less conservative. Two numerical examples are given to illustrate the effectiveness and applicability of our obtained results.
机译:本文主要涉及具有混合延迟和马尔可夫跳跃参数的不确定中性随机系统均线的全球指数稳定性。混合延迟包括离散间隔时变延迟和分布式时间延迟。考虑到随机扰动和马尔可夫跳跃参数,通过构建适当的Lyapunov-Krasovskii功能,可以获得在这种系统的平均方形中全球指数稳定性的一些延迟依赖条件,其以线性矩阵不等式给出(lmis)。导出的标准取决于上界和时变延迟的上限和分布式延迟的下限,因此较少保守。给出了两个数值例子来说明我们获得的结果的有效性和适用性。

著录项

  • 作者

    Huabin Chen;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
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