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Robust Dissipative Filtering for Linear Time-Delay Systems with Markovian Jumping Parameters

机译:具有马尔可夫跳跃参数的线性时滞系统的鲁棒耗散滤波

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This paper deals with the robust dissi-pative filtering for a class of linear time-delay systems with Markovian jumping parameters. The system under study involves time delays, jumping parameters and uncertainties. The transition of the jumping parame- ters in systems is governed by a finite-state Markov process. The objective is to design linear memoryless filters such that for all uncertainties, the resulting augmented system is robust stochastically stable independent of delays and satisfies the proposed dissipative performance. Based on stability theory in stochastic differential equations, a sufficient condition on the existence of robust dissipative filters is derived. Robust dissipative filters are designed in terms of a set of coupled linear matrix inequalities.
机译:本文研究了一类具有马尔可夫跳跃参数的线性时滞系统的鲁棒耗散滤波。正在研究的系统涉及时间延迟,跳跃参数和不确定性。系统中跳跃参数的转换由有限状态马尔可夫过程控制。目的是设计线性无记忆滤波器,以便对于所有不确定性,所得的增强系统具有独立于延迟的随机稳定鲁棒性,并满足所提出的耗散性能。基于随机微分方程的稳定性理论,推导了鲁棒耗散滤波器存在的充分条件。鲁棒的耗散滤波器是根据一组耦合的线性矩阵不等式设计的。

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