This article focuses on a decentralized sampled‐data filter design for a class of large‐scale interconnected systems. Precisely in the addressed system, the inevitable factors such as missing measurements, time‐varying delays, randomly occurring uncertainties, and impulsive effects are taken into consideration. Also, we incorporated the gain perturbations and sensor faults in the proposed filter design. Furthermore, a new set of sufficient criterion has been derived by choosing an appropriate Lyapunov‐Krasovskii functional that ensures the asymptotic stability of the resulting augmented filtering error system with the prescribed mixed H_∞ and passive performance index. Specifically, the corresponding filter gain matrices are derived by solving the developed sufficient criterion formulated in terms of linear matrix inequalities. The effectiveness of the proposed filter design technique are then exemplified by two numerical examples with simulations.

中文翻译：

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具有传感器故障和丢失测量的大型互连系统的采样数据滤波器设计

本文重点介绍用于一类大型互连系统的分散采样数据过滤器设计。精确地在所解决的系统中，必须考虑不可避免的因素，例如缺少测量值，时变时延，随机发生的不确定性和冲动效应。此外，我们在拟议的滤波器设计中合并了增益扰动和传感器故障。此外，新的一组充分的标准的已被衍生通过选择适当的Lyapunov-Krasovskii泛函，以确保与规定的混合所产生的增强的滤波误差系统的渐近稳定ħ _∞和被动性能指标。具体而言，通过解决根据线性矩阵不等式制定的已制定的充分判据，可以得出相应的滤波器增益矩阵。所提出的滤波器设计技术的有效性随后通过两个带有仿真的数值示例进行了举例说明。