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Delay-dependent stability of two-dimensional Markovian jump systems in the Roesser model with interval time-varying delays

机译:间隔时变延迟,鲁塞尔模型中二维市场跳跃系统的延迟依赖性稳定性

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This paper is concerned with the problem of stochastic stability analysis of discrete-time two-dimensional Markovian jump systems (2D MJSs) described by the Roesser model. The systems under consideration are subject to interval time-varying and full known transition probabilities of the jumping process/Markov chain. First, new finite-sum inequalities are proposed in this paper. Then giving the Lyapunov-Krasovskii functional (LKF) with time-delay and differencing it via new finite-sum inequalities, delay-dependent stochastic stability conditions are derived in terms of linear matrix inequalities (LMIs). Finally, a numerical example is given to illustrate the effectiveness of the proposed methods.
机译:本文涉及瑞塞模型描述的离散时间二维马尔可夫跳跃系统(2D MJS)的随机稳定性分析问题。所考虑的系统受到跳跃过程/马尔可夫链的间隔​​时变和完全已知的过渡概率。首先,本文提出了新的有限总和不等式。然后通过新的有限和不等式向Lyapunov-Krasovskii功能(LKF)延迟,延迟依赖于线性矩阵不等式(LMI)来得出延迟依赖随机稳定性条件。最后,给出了一个数值例子来说明所提出的方法的有效性。

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