Quadratic Filtering for Discrete-Time Systems with Measurement Delay and Packet Dropping
We consider the problem of remote estimation with time delay and multiplicative noise for multichannel systems. First, we apply the reorganized innovation analysis approach to construct the original delay system into a new delay-free system. Secondly, the delay-free system will be reconstructed by t...
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/1725121 |
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doaj-4d9deb9052904e2d99da7415bd919b222020-11-25T03:46:30ZengHindawi-WileyComplexity1076-27871099-05262020-01-01202010.1155/2020/17251211725121Quadratic Filtering for Discrete-Time Systems with Measurement Delay and Packet DroppingLing Li0Lei Tan1Xinmin Song2Xuehua Yan3The School of Information Science and Engineering, Shandong Normal University, Jinan 250014, ChinaThe School of Information Science and Engineering, Shandong Normal University, Jinan 250014, ChinaThe School of Information Science and Engineering, Shandong Normal University, Jinan 250014, ChinaSchool of Electrical Engineering, University of Jinan, Jinan, Shandong, ChinaWe consider the problem of remote estimation with time delay and multiplicative noise for multichannel systems. First, we apply the reorganized innovation analysis approach to construct the original delay system into a new delay-free system. Secondly, the delay-free system will be reconstructed by the quadratic filtering method to obtain an augmented system. Then, Kalman filtering theory and projection formula are used to solve two Riccati equations and one Lyapunov equation for the augmented system, and the quadratic filter for the measurement delay system on the packet loss network can be obtained. Finally, we use a numerical example to illustrate the effectiveness of the method.http://dx.doi.org/10.1155/2020/1725121 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ling Li Lei Tan Xinmin Song Xuehua Yan |
spellingShingle |
Ling Li Lei Tan Xinmin Song Xuehua Yan Quadratic Filtering for Discrete-Time Systems with Measurement Delay and Packet Dropping Complexity |
author_facet |
Ling Li Lei Tan Xinmin Song Xuehua Yan |
author_sort |
Ling Li |
title |
Quadratic Filtering for Discrete-Time Systems with Measurement Delay and Packet Dropping |
title_short |
Quadratic Filtering for Discrete-Time Systems with Measurement Delay and Packet Dropping |
title_full |
Quadratic Filtering for Discrete-Time Systems with Measurement Delay and Packet Dropping |
title_fullStr |
Quadratic Filtering for Discrete-Time Systems with Measurement Delay and Packet Dropping |
title_full_unstemmed |
Quadratic Filtering for Discrete-Time Systems with Measurement Delay and Packet Dropping |
title_sort |
quadratic filtering for discrete-time systems with measurement delay and packet dropping |
publisher |
Hindawi-Wiley |
series |
Complexity |
issn |
1076-2787 1099-0526 |
publishDate |
2020-01-01 |
description |
We consider the problem of remote estimation with time delay and multiplicative noise for multichannel systems. First, we apply the reorganized innovation analysis approach to construct the original delay system into a new delay-free system. Secondly, the delay-free system will be reconstructed by the quadratic filtering method to obtain an augmented system. Then, Kalman filtering theory and projection formula are used to solve two Riccati equations and one Lyapunov equation for the augmented system, and the quadratic filter for the measurement delay system on the packet loss network can be obtained. Finally, we use a numerical example to illustrate the effectiveness of the method. |
url |
http://dx.doi.org/10.1155/2020/1725121 |
work_keys_str_mv |
AT lingli quadraticfilteringfordiscretetimesystemswithmeasurementdelayandpacketdropping AT leitan quadraticfilteringfordiscretetimesystemswithmeasurementdelayandpacketdropping AT xinminsong quadraticfilteringfordiscretetimesystemswithmeasurementdelayandpacketdropping AT xuehuayan quadraticfilteringfordiscretetimesystemswithmeasurementdelayandpacketdropping |
_version_ |
1715120873804922880 |