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Stabilization of Stochastic Markovian Jump Systems with Partially Unknown Transition Probabilities and Multiplicative Noise

机译:具有未知转移概率和可乘噪声的随机马尔可夫跳跃系统的镇定

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摘要

We are concerned with the problems of stability and stabilization for stochastic Markovian jump systems subject to partially unknown transition probabilities andmultiplicative noise, including the continuous- and discrete-time cases. Sufficient conditions guaranteeing systems considered to be asymptotically stable in the mean square are presented in the form of LMIs. Furthermore, the desired state feedback controllers are designed. It is shown that, by introducing the free-weighing matrix method, the results we have obtained not only are less conservative than the existing ones but also can be regarded as extensions of the corresponding results of Markovian jump systems without noise. Numerical examples are finally provided to illustrate the effectiveness of the proposed theoretical results.
机译:我们关注随机马尔可夫跳跃系统的稳定性和稳定性问题,该系统具有部分未知的转移概率和乘性噪声,包括连续时间和离散时间情况。 LMI形式提供了足够的条件保证系统被认为在均方渐近稳定。此外,设计了所需的状态反馈控制器。结果表明,通过引入自由加权矩阵法,我们获得的结果不仅不如已有的保守,而且可以看作是无噪声的马尔可夫跳跃系统的相应结果的扩展。最后提供了数值例子来说明所提出的理论结果的有效性。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第9期|6194598.1-6194598.9|共9页
  • 作者

    Zhao Yong; Fu You;

  • 作者单位

    Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China;

    Shandong Univ Sci & Technol, Coll Comp Sci & Engn, Qingdao 266590, Peoples R China;

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