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首页> 外文期刊>Journal of the Franklin Institute >Finite-time stabilization for nonlinear discrete-time singular Markov jump systems with piecewise-constant transition probabilities subject to average dwell time
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Finite-time stabilization for nonlinear discrete-time singular Markov jump systems with piecewise-constant transition probabilities subject to average dwell time

机译:具有平均停留时间的分段恒定转移概率的非线性离散时间奇异Markov跳跃系统的有限时间稳定

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摘要

In this paper, the finite-time boundedness and stabilization issues for nonlinear discrete-time singular Markov jump systems with time-varying transition probabilities subject to average dwell time switching are studied for the first time. The finite piecewise homogeneous character of transition probabilities is taken into account. Firstly, by using average dwell time approach and implicit function theorem, a sufficient condition is presented such that the nonlinear discrete-time singular Markov jump systems are singular finite-time bounded and of a unique solution. Secondly, according to the singular value decomposition approach, a linear matrix inequality (LMI) finite-time boundedness criterion is developed, which can be used for constructing state feedback controllers directly. Based on this LMI finite-time boundedness criterion, the state feedback controller design is handled. Finally, three numerical examples are presented to illustrate the validity and advantage of the proposed methods. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:本文首次研究了具有平均停留时间切换的时变转移概率的非线性离散时间奇异马尔可夫跳跃系统的有限时间有界性和稳定性问题。考虑了转移概率的有限分段齐性特征。首先,通过使用平均停留时间方法和隐函数定理,给出了充分的条件,使得非线性离散时间奇异马尔可夫跳跃系统是奇异的有限时间有界且具有唯一解。其次,根据奇异值分解方法,建立了线性矩阵不等式(LMI)有限时间有界准则,该准则可直接用于构造状态反馈控制器。基于此LMI有限时间有界条件,可以处理状态反馈控制器的设计。最后,给出了三个数值例子来说明所提方法的有效性和优势。 (C)2017富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2017年第5期|2102-2124|共23页
  • 作者单位

    Shandong Univ, Sch Math, Jinan 250100, Peoples R China;

    Shandong Univ, Sch Math, Jinan 250100, Peoples R China;

    Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China;

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