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Exponential stability of nonlinear neutral stochastic differential equations with Markovian switching

机译:马尔可夫切换的非线性中立型随机微分方程的指数稳定性。

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Neutral stochastic differential equations (NSDEs) have recently been studied intensively. Given that many systems are often subject to component failures of repairs, changing subsystem interconnections and abrupt environmental disturbances etc., the structure and parameters of underlying NSDEs may change abruptly. One way to model such abrupt changes is to use the continuous-time Markov chains. As a result, the underlying NSDE become NSDE with Markovian switching which are hybrid systems. So few results are known about the NSDEs with Markovian switching and the aim of this paper is to close this gap. In this paper, a new condition for the exponential stability in the mean-square sense of such systems is given, which improved the existed condition, and its proof also implies the almost sure stability of such systems.
机译:最近对中立型随机微分方程(NSDE)进行了深入研究。鉴于许多系统经常遭受组件故障的维修,子系统互连的更改以及突发的环境干扰等,因此底层NSDE的结构和参数可能会突然发生变化。对这种突变进行建模的一种方法是使用连续时间马尔可夫链。结果,基础的NSDE成为具有马尔可夫交换的NSDE,它们是混合系统。关于用马尔可夫转换的NSDE的结果知之甚少,而本文的目的是弥合这一差距。本文给出了此类系统在均方意义上的指数稳定性的新条件,它改善了已有条件,其证明也暗示了此类系统的几乎确定的稳定性。

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