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H_∞ filtering for time-delayed singular Markovian jump systems with time-varying switching: A quantized method

机译:具有时变切换的时滞奇异Markovian跳跃系统的H_∞滤波:一种量化方法

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摘要

This paper discusses the H_∞ filtering problem of time-delayed singular Markovian jump systems (SMJSs) with time-varying transition rate matrix (TRM). In this paper, the underlying TRM is studied by the quantized method, whose difficulties used in system analysis and synthesis with infinite precision are overcome. Based on the proposed quantization principle, the time-varying TRM is firstly quantized into a series of finite TRMs with norm bounded uncertainties. Then, new criteria depending on time delay and quantization density simultaneously are developed such that the corresponding system is stochastic admissible with an H_∞ performance. Several sufficient conditions for the existence of the desired filter are given in the form of linear matrix inequalities (LMIs). Finally, numerical examples are used to demonstrate the correctness and superiorities of the proposed methods.
机译:本文讨论了带有时变转移率矩阵(TRM)的时滞奇异马尔可夫跳跃系统(SMJSs)的H_∞滤波问题。本文通过量化方法研究了潜在的TRM,克服了其在系统分析和无限精度综合中所遇到的困难。基于提出的量化原理,将时变TRM首先量化为具有范数界不确定性的一系列有限TRM。然后,同时开发取决于时间延迟和量化密度的新标准,以使相应的系统具有H_∞性能是随机可接受的。以线性矩阵不等式(LMI)的形式给出了存在所需滤波器的几个充分条件。最后,通过算例说明了所提方法的正确性和优越性。

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