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Exponential stability in mean square of a singularly perturbed linear stochastic system with state-multiplicative white-noise perturbations and Markovian switching

机译:具有状态乘性白噪声摄动和马尔可夫切换的奇摄动线性随机系统均方的指数稳定性

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摘要

This study deals with a stabilisation problem for a class of singularly perturbed linear stochastic systems with state-multiplicative white-noise and Markovian jumping parameters. Based on the Lyapunov- type operator, an exponential stability in mean square is discussed intensively. First, after decomposing the full-order stochastic Lyapunov differential equations, the conditions that the reduced-order systems are both mean square stable are established. Second, it is shown that there exist small perturbation parameters that cause the original stochastic systems to be mean square stable. Moreover, it is also shown that the parameter-independent composite stabilising controller is established by solving the linear matrix inequalities.
机译:该研究针对一类具有状态可乘白噪声和马尔可夫跳跃参数的奇摄动线性随机系统的镇定问题。基于Lyapunov型算子,对均方的指数稳定性进行了深入的讨论。首先,在分解了全阶随机Lyapunov微分方程之后,建立了降阶系统都是均方稳定的条件。其次,表明存在小的扰动参数,这些参数使原始随机系统均方稳定。此外,还表明通过求解线性矩阵不等式建立了参数无关的复合稳定控制器。

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