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An LMI approach to delay-dependent robust H filtering of lpv systems with discrete and distributed delays using PPDQ functions

机译:使用PPDQ函数对具有离散和分布式延迟的lpv系统进行时延依赖的鲁棒H 滤波的LMI方法

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This paper presents a delay-dependent approach to robust filtering for linear parameter-varying (LPV) systems with discrete and distributed time-invariant delays in the states and outputs. It is assumed that the state-space matrices affinely depend on parameters that are measurable in real-time. Some new parameter-dependent delay-dependent stability conditions are established in terms of linear matrix inequalities (LMIs) such that the filtering process remains asymptotically stable and satisfies a prescribed H performance level. Using polynomially parameter-dependent quadratic (PPDQ) functions and some Lagrange multiplier matrices, we establish the parameter-independent delay-dependent conditions with high precision under which the desired robust H filters exist and derive the explicit expression of these filters. A numerical example is provided to demonstrate the validity of the proposed design approach.
机译:本文针对状态和输出中具有离散和分布时不变时滞的线性参数变化(LPV)系统,提出了一种与时滞有关的鲁棒滤波方法。假定状态空间矩阵仿射依赖于实时可测量的参数。根据线性矩阵不等式(LMI)建立了一些新的依赖参数的依赖于延迟的稳定性条件,以使滤波过程保持渐近稳定并满足规定的H性能水平。使用多项式参数依赖二次函数(PPDQ)和某些Lagrange乘数矩阵,我们建立了与参数无关的时延依赖条件,并具有较高的精度,在此条件下,存在所需的鲁棒H滤波器,并导出了这些滤波器的显式。提供了一个数值示例来证明所提出的设计方法的有效性。

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