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Delay-dependent H_∞ filtering for discrete-time singular Markovian jump systems with time-varying delay and partially unknown transition probabilities

机译:时变时滞且转移概率部分未知的离散时间奇异Markovian跳跃系统的时滞相关H_∞滤波

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This paper is concerned with the H_∞ filtering design for a class of discrete-time singular Markovian jump systems with time-varying delay and partially unknown transition probabilities. The class of systems under consideration is more general and covers the singular Markovian delay systems with completely known and completely unknown transition probabilities as two special cases. A mode-dependent filter is constructed and by defining an appropriate stochastic Lyapunov functional combined with using the discrete Jensen inequality, a delay-dependent bounded real lemma (BRL) for the considered systems is established in terms of linear matrix inequalities (LMIs). Based on this, a sufficient condition on the existence of the desired filter which guarantees the admissibility and the H_∞ performance of the corresponding filtering error system is presented by employing the LMIs technique. Some numerical examples are provided to illustrate the effectiveness of the developed theoretical results.
机译:本文涉及一类时变时滞且转移概率部分未知的离散时间奇异马尔可夫跳跃系统的H_∞滤波设计。所考虑的系统类别更为笼统,涵盖具有两个完全不同的转移概率的奇异马尔可夫延迟系统,这是两种特殊情况。构造与模式有关的滤波器,并通过定义适当的随机Lyapunov函数,并结合使用离散Jensen不等式,针对所考虑系统,根据线性矩阵不等式(LMI)建立了与延迟有关的有界实数引理(BRL)。在此基础上,采用LMIs技术,给出了保证期望滤波器存在的充分条件,该条件保证了相应滤波误差系统的可容许性和H_∞性能。提供了一些数值示例来说明所开发理论结果的有效性。

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