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Finite-time and sampled-data synchronization of delayed Markovian jump complex dynamical networks based on passive theory

机译:基于被动理论的时滞马尔可夫跳跃复杂动力网络的有限时间和采样数据同步

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The motivation behind this paper is to explore the issue of passivity and passification for delayed complex dynamical networks with sampled-data control. An examined feedback control approach with sampling period is considered. By utilizing the Lyapunov-Krasovskii functional strategy, a novel delay-dependent passivity criterion is developed with respect to linear matrix inequalities to guarantee the delayed complex dynamical frameworks to be passive. At that point, obtained passivity conditions, the passification issue is further tackled by planning a non-uniform sampled-data controller design. The derived criteria are expressed in terms of linear matrix inequalities that can be easily checked by using the standard numerical software. Finally, a numerical example is provided to illustrate the applicability of the proposed approach.
机译:本文背后的动机是探索具有采样数据控制的时滞复杂动态网络的无源性和钝化性问题。考虑采用采样周期的反馈控制方法。通过利用Lyapunov-Krasovskii功能策略,针对线性矩阵不等式开发了一种新的依赖于延迟的无源准则,以确保延迟的复杂动力框架是被动的。在这一点上,获得被动性条件后,通过计划非均匀采样数据控制器设计,可以进一步解决被动性问题。导出的标准以线性矩阵不等式表示,可以使用标准数值软件轻松检查。最后,提供了一个数值示例来说明所提出方法的适用性。

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