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Stabilization of multi-group models with multiple dispersal and stochastic perturbation via feedback control based on discrete-time state observations

机译:基于离散时间观测的反馈控制具有多种分散和随机扰动的多组模型的稳定化

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This paper focuses on the multi-group models with multiple dispersal and stochastic perturbation (MGMDS). The effect of both multiple dispersal among groups and stochastic perturbation are taken into consideration. The stabilization of MGMDS is investigated via feedback control based on the discrete-time state observations. In addition, a systematic method is given to construct a global Lyapunov function for MGMDS. By means of graph theory and Lyapunov method, some sufficient conditions are obtained to ensure the stabilization in the sense of mean-square asymptotical stability. An upper bound of the duration between two consecutive state observations is estimated. Moreover, to show the applicability of our results, the main theory is employed to a stochastic coupled oscillators. Finally, a numerical example is given to illustrate the effectiveness and feasibility of the theoretical results. (C) 2019 Elsevier Inc. All rights reserved.
机译:本文重点介绍具有多种分散和随机扰动(MGMDS)的多组模型。 考虑到组和随机扰动中多种分散的效果。 通过基于离散时间的离散状态观察通过反馈控制来研究MGMDS的稳定化。 此外,给出了系统方法构建MGMD的全球Lyapunov函数。 通过图论和Lyapunov方法,获得了一些充分的条件以确保在平均渐近稳定性的意义上稳定。 估计两个连续状态观察之间的持续时间的上限。 此外,为了表明我们的结果的适用性,主要理论用于随机耦合振荡器。 最后,给出了一个数值例子来说明理论结果的有效性和可行性。 (c)2019 Elsevier Inc.保留所有权利。

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