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首页> 外文期刊>Circuits, systems, and signal processing >Networked H_∞ Filtering for Time-Varying Systems with Uncertain Multiple Packet Dropouts
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Networked H_∞ Filtering for Time-Varying Systems with Uncertain Multiple Packet Dropouts

机译：不确定多个分组丢失的时变系统的网络化H_∞滤波

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摘要

This paper deals with the H-infinity filtering problem for discrete time-varying systems with uncertain multiple packet dropouts. The network-induced packet dropouts are modeled as a Bernoulli-distributed stochastic sequence with uncertain but bounded probability distribution, which is closer to the actual network environment. The multiple channels model is utilized to describe the transmission process of measurement data from multiple sensors. The aim is to design a H-infinity filter subject to uncertain multiple packet dropouts. By utilizing stochastic analysis technique, sufficient conditions guaranteeing the existence of desired filter are established, and then, the filter parameters are obtained by solving recursive linear matrix inequality. Finally, a simulation is given to demonstrate the filter design method.
机译：本文针对具有不确定多个数据包丢失的离散时变系统，处理H-无穷大滤波问题。网络诱发的数据包丢失被建模为具有不确定但有界概率分布的伯努利分布随机序列，它更接近实际网络环境。多通道模型用于描述来自多个传感器的测量数据的传输过程。目的是设计一个不受不确定的多个数据包丢失影响的H-无限滤波器。利用随机分析技术，建立了保证期望滤波器存在的充分条件，然后通过求解递归线性矩阵不等式获得滤波器参数。最后，通过仿真证明了滤波器的设计方法。

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