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Stability analysis of stochastic differential equations with Markovian switching

机译:马尔可夫切换的随机微分方程的稳定性分析

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This paper discusses the asymptotic stability of the nonlinear stochastic differential equations with Markovian switching (SDEWMSs). The equations under consideration are more general, whose transition jump rates matrix Q is not precisely known. By using the switching process jump times to subdivide the "time" and then investigate the related sequence, we provide sufficient conditions for asymptotic stability of SDEWMSs when each subsystem is stable and a certain "slow switching" condition holds. For the general multi-dimensional linear SDEWMSs, sufficient conditions via bi-linear matrix inequalities are also proposed for the design of robust stabilization. Some examples are given to illustrate the effectiveness of our results.
机译:本文讨论了具有马尔可夫切换(SDEWMS)的非线性随机微分方程的渐近稳定性。所考虑的方程式更为笼统,其跳变率矩阵Q尚不清楚。通过使用切换过程的跳跃时间来细分“时间”,然后研究相关的序列,我们为每个子系统稳定且保持一定“慢切换”条件时SDEWMS的渐近稳定性提供了充分条件。对于一般的多维线性SDEWMS,还提出了通过双线性矩阵不等式的充分条件,用于鲁棒镇定设计。给出了一些例子来说明我们的结果的有效性。

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