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带事件触发采样方案的网络控制系统故障隔离滤波器。

Fault isolation filter for networked control system with event-triggered sampling scheme.

机构信息

College of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.

出版信息

Sensors (Basel). 2011;11(1):557-72. doi: 10.3390/s110100557. Epub 2011 Jan 7.

DOI:10.3390/s110100557
PMID:22346590
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3274084/
Abstract

In this paper, the sensor data is transmitted only when the absolute value of difference between the current sensor value and the previously transmitted one is greater than the given threshold value. Based on this send-on-delta scheme which is one of the event-triggered sampling strategies, a modified fault isolation filter for a discrete-time networked control system with multiple faults is then implemented by a particular form of the Kalman filter. The proposed fault isolation filter improves the resource utilization with graceful fault estimation performance degradation. An illustrative example is given to show the efficiency of the proposed method.

摘要

在本文中,只有当前传感器值与之前传输的值之间的差值的绝对值大于给定阈值时,才会传输传感器数据。基于这种基于事件触发的采样策略之一的“发送增量”方案,然后通过卡尔曼滤波器的特殊形式,为具有多个故障的离散时间网络控制系统实现了一种改进的故障隔离滤波器。所提出的故障隔离滤波器提高了资源利用率,同时降低了故障估计性能。给出了一个说明性示例,以显示所提出方法的效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/d72f1f7bc19a/sensors-11-00557f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/152e43bc15a3/sensors-11-00557f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/bd7b804863f2/sensors-11-00557f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/5b546306441f/sensors-11-00557f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/be3b8f97549c/sensors-11-00557f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/ddadc9d48baa/sensors-11-00557f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/7d137bf6b194/sensors-11-00557f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/929b907d6714/sensors-11-00557f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/84e0590b84fe/sensors-11-00557f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/3e794e98f7a8/sensors-11-00557f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/147b5207a81a/sensors-11-00557f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/d72f1f7bc19a/sensors-11-00557f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/152e43bc15a3/sensors-11-00557f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/bd7b804863f2/sensors-11-00557f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/5b546306441f/sensors-11-00557f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/be3b8f97549c/sensors-11-00557f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/ddadc9d48baa/sensors-11-00557f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/7d137bf6b194/sensors-11-00557f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/929b907d6714/sensors-11-00557f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/84e0590b84fe/sensors-11-00557f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/3e794e98f7a8/sensors-11-00557f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/147b5207a81a/sensors-11-00557f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bc/3274084/d72f1f7bc19a/sensors-11-00557f11.jpg

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Networked estimation for event-based sampling systems with packet dropouts.基于丢包的事件采样系统的网络化估计。
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