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Stability of Switched Stochastic Dynamical Systems driven by Brownian Motion and Markov Modulated Compound Poisson Process

机译:布朗运动驱动的切换随机动力系统的稳定性和马尔可夫调制复合泊松过程

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Stability conditions of continuous-time switched stochastic dynamical systems driven by a Brownian motion and a Markov modulated compound Poisson process are provided. The mode signal, which manages the transition between subsystems, is modeled as a Markov chain. The state variables of the switched stochastic system are subject to jumps of random size occurring at random instances. The intensity of the occurrences, as well as the size of these jumps are modulated by the mode signal. A comparison approach is employed to show the almost sure asymptotic stability of the zero solution. Finally, an illustrative numerical example is presented to demonstrate the efficacy of our results.
机译:提供了由布朗运动驱动的连续时间切换随机动力系统的稳定性条件和Markov调制复合泊松过程。管理子系统之间过渡的模式信号被建模为马尔可夫链。交换随机系统的状态变量受到随机实例发生的随机大小的跳跃。发生的强度,以及这些跳跃的大小由模式信号调制。采用比较方法来展示零解的几乎肯定的渐近稳定性。最后,提出了说明性的数值例子以证明我们的结果的功效。

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