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Stabilisation bound of stochastic singularly perturbed systems with markovian switching by noise control

机译:具有噪声控制的马尔可夫切换的随机奇摄动系统的稳定界

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This study considers the stabilisation-bound problem of stochastic singularly perturbed systems with Markovian jump parameters. The aim of this study is to determine whether a stochastic state-feedback controller referred to be noise control can stabilise such a system for any perturbation parameter ε ϵ (0, ε̅] with a predefined positive scalar ε̅. By introducing an ε-dependent Lyapunov function, new stabilisation method via an ε-dependent controller only in the diffusion part is developed, whose condition independent of ε is within LMI framework. Based on this, more extensions to transition probability matrix with elementwise bounded uncertainties, being partially unknown and system state partially observable are considered, respectively. A numerical example is used to demonstrate the effectiveness and advantage of the proposed methods.
机译:这项研究考虑了具有马尔可夫跳跃参数的随机奇异摄动系统的稳定约束问题。这项研究的目的是通过引入依赖于ε的Lyapunov,确定被称为噪声控制的随机状态反馈控制器是否可以针对任何扰动参数εϵ(0,ε̅)稳定这种系统。函数,开发了仅在扩散部分通过依赖于ε的控制器的新的稳定化方法,其条件与ε无关,位于LMI框架内,在此基础上,对具有元素有界不确定性,部分未知和系统状态的转移概率矩阵进行了更多扩展数值算例说明了所提方法的有效性和优越性。

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