Event-triggered sensor data transmission policy for receding horizon recursive state estimation

We consider a sensor data transmission policy for receding horizon recursive state estimation in a networked linear system. A good tradeoff between estimation error and communication rate could be achieved according to a transmission strategy, which decides the transfer time of the data packet. Here...

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Main Authors: Yunji Li, Li Peng
Format: Article
Language:English
Published: SAGE Publishing 2017-06-01
Series:Journal of Algorithms & Computational Technology
Online Access:https://doi.org/10.1177/1748301816680502
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spelling doaj-4cf33170b34c41f6aed840effa4390df2020-11-25T03:49:53ZengSAGE PublishingJournal of Algorithms & Computational Technology1748-30181748-30262017-06-011110.1177/174830181668050210.1177_1748301816680502Event-triggered sensor data transmission policy for receding horizon recursive state estimationYunji LiLi PengWe consider a sensor data transmission policy for receding horizon recursive state estimation in a networked linear system. A good tradeoff between estimation error and communication rate could be achieved according to a transmission strategy, which decides the transfer time of the data packet. Here we give this transmission policy through proving the upper bound of system performance. Moreover, the lower bound of system performance is further analyzed in detail. A numerical example is given to verify the potential and effectiveness of the theoretical results.https://doi.org/10.1177/1748301816680502
collection DOAJ
language English
format Article
sources DOAJ
author Yunji Li
Li Peng
spellingShingle Yunji Li
Li Peng
Event-triggered sensor data transmission policy for receding horizon recursive state estimation
Journal of Algorithms & Computational Technology
author_facet Yunji Li
Li Peng
author_sort Yunji Li
title Event-triggered sensor data transmission policy for receding horizon recursive state estimation
title_short Event-triggered sensor data transmission policy for receding horizon recursive state estimation
title_full Event-triggered sensor data transmission policy for receding horizon recursive state estimation
title_fullStr Event-triggered sensor data transmission policy for receding horizon recursive state estimation
title_full_unstemmed Event-triggered sensor data transmission policy for receding horizon recursive state estimation
title_sort event-triggered sensor data transmission policy for receding horizon recursive state estimation
publisher SAGE Publishing
series Journal of Algorithms & Computational Technology
issn 1748-3018
1748-3026
publishDate 2017-06-01
description We consider a sensor data transmission policy for receding horizon recursive state estimation in a networked linear system. A good tradeoff between estimation error and communication rate could be achieved according to a transmission strategy, which decides the transfer time of the data packet. Here we give this transmission policy through proving the upper bound of system performance. Moreover, the lower bound of system performance is further analyzed in detail. A numerical example is given to verify the potential and effectiveness of the theoretical results.
url https://doi.org/10.1177/1748301816680502
work_keys_str_mv AT yunjili eventtriggeredsensordatatransmissionpolicyforrecedinghorizonrecursivestateestimation
AT lipeng eventtriggeredsensordatatransmissionpolicyforrecedinghorizonrecursivestateestimation
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