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Delay-dependent exponential stability for uncertain neutral stochastic systems with mixed delays and markovian jumping parameters

机译:具有混合时滞和马尔可夫跳跃参数的不确定中立随机系统的时滞相关指数稳定性

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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:本文主要研究具有混合时滞和马尔可夫跳跃参数的不确定中立随机系统均方的全局指数稳定性。混合延迟由离散间隔时变延迟和分布式时间延迟组成。考虑随机扰动和马尔可夫跳跃参数,可以通过构造适当的Lyapunov-Krasovskii泛函来获得此类系统均方的全局指数稳定性的一些依赖于延迟的充分条件,这些函数以线性矩阵不等式的形式给出(LMI)。导出的标准取决于时变延迟和分布式延迟的上限和下限,因此不那么保守。给出了两个数值例子,说明了所获得结果的有效性和适用性。

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