Two-stage Kalman filter for simultaneous fault and delay estimation in networked control systems

Networked Control Systems are becoming very popular nowadays. However, the use of networks in the control loop induces extra difficulties in diagnosis. In this paper we propose a method for estimate fault as well delay induced by the network. Inspired from the Kalman filter previously proposed by Si...

Full description

Saved in:
Bibliographic Details
Main Authors: Chabir, K, Sauter, D, Al-Salami, I M, Abdelkrim, M N
Format: Conference Proceeding
Language:English
Subjects:
Actuators
Delay
Equations
Estimation
Kalman filters
Mathematical model
Networked control systems
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 254
container_issue
container_start_page 249
container_title
container_volume
creator Chabir, K
Sauter, D
Al-Salami, I M
Abdelkrim, M N
description Networked Control Systems are becoming very popular nowadays. However, the use of networks in the control loop induces extra difficulties in diagnosis. In this paper we propose a method for estimate fault as well delay induced by the network. Inspired from the Kalman filter previously proposed by Sinopoli et al. and Hsieh et al., two solutions are presented; the augmented and the two-stage Kalman filter. Main attention is paid for the last one. The delay and the fault are integrated as a state variable. It is supposed that the delay and the fault are random variables. In addition, we provide some analytic results to demonstrate the computational advantages of two-stage Kalman filter over augmented ones. An example illustrates the obtained results is given.
doi_str_mv 10.1109/MED.2010.5547676
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5547676</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5547676</ieee_id><sourcerecordid>5547676</sourcerecordid><originalsourceid>FETCH-LOGICAL-h209t-2477b1c059de5848a81766582b1a05236856f8cb08b908328e3e68025b9caf363</originalsourceid><addsrcrecordid>eNpFkE1Lw0AYhFdEUGvvgpf9A6n7nd2j1FrFipd6rm-SNxrd7Ep2S8m_N2DBucw8l2EYQq45W3DO3O3L6n4h2ERaq9KU5oRcciWUsswJcfoPXJ2TeUpfbJLSopT6grxvD7FIGT6QPoPvIdC28xkH2saBpq7f-wwB4z7RFqZMITS0QQ8jxZS7HnIXA-0CDZgPcfjGhtYx5CF6msaUsU9X5KwFn3B-9Bl5e1htl4_F5nX9tLzbFJ-CuVwIVZYVr5l2DWqrLFheGqOtqDgwLaSx2rS2rpitHLNSWJRoLBO6cjW00sgZufnr7RBx9zNM24Zxd3xE_gJy4FTU</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Two-stage Kalman filter for simultaneous fault and delay estimation in networked control systems</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Chabir, K ; Sauter, D ; Al-Salami, I M ; Abdelkrim, M N</creator><creatorcontrib>Chabir, K ; Sauter, D ; Al-Salami, I M ; Abdelkrim, M N</creatorcontrib><description>Networked Control Systems are becoming very popular nowadays. However, the use of networks in the control loop induces extra difficulties in diagnosis. In this paper we propose a method for estimate fault as well delay induced by the network. Inspired from the Kalman filter previously proposed by Sinopoli et al. and Hsieh et al., two solutions are presented; the augmented and the two-stage Kalman filter. Main attention is paid for the last one. The delay and the fault are integrated as a state variable. It is supposed that the delay and the fault are random variables. In addition, we provide some analytic results to demonstrate the computational advantages of two-stage Kalman filter over augmented ones. An example illustrates the obtained results is given.</description><identifier>ISBN: 1424480914</identifier><identifier>ISBN: 9781424480913</identifier><identifier>EISBN: 1424480922</identifier><identifier>EISBN: 9781424480920</identifier><identifier>EISBN: 1424480906</identifier><identifier>EISBN: 9781424480906</identifier><identifier>DOI: 10.1109/MED.2010.5547676</identifier><language>eng</language><publisher>IEEE</publisher><subject>Actuators ; Delay ; Equations ; Estimation ; Kalman filters ; Mathematical model ; Networked control systems</subject><ispartof>18th Mediterranean Conference on Control and Automation, MED'10, 2010, p.249-254</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5547676$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5547676$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chabir, K</creatorcontrib><creatorcontrib>Sauter, D</creatorcontrib><creatorcontrib>Al-Salami, I M</creatorcontrib><creatorcontrib>Abdelkrim, M N</creatorcontrib><title>Two-stage Kalman filter for simultaneous fault and delay estimation in networked control systems</title><title>18th Mediterranean Conference on Control and Automation, MED'10</title><addtitle>MED</addtitle><description>Networked Control Systems are becoming very popular nowadays. However, the use of networks in the control loop induces extra difficulties in diagnosis. In this paper we propose a method for estimate fault as well delay induced by the network. Inspired from the Kalman filter previously proposed by Sinopoli et al. and Hsieh et al., two solutions are presented; the augmented and the two-stage Kalman filter. Main attention is paid for the last one. The delay and the fault are integrated as a state variable. It is supposed that the delay and the fault are random variables. In addition, we provide some analytic results to demonstrate the computational advantages of two-stage Kalman filter over augmented ones. An example illustrates the obtained results is given.</description><subject>Actuators</subject><subject>Delay</subject><subject>Equations</subject><subject>Estimation</subject><subject>Kalman filters</subject><subject>Mathematical model</subject><subject>Networked control systems</subject><isbn>1424480914</isbn><isbn>9781424480913</isbn><isbn>1424480922</isbn><isbn>9781424480920</isbn><isbn>1424480906</isbn><isbn>9781424480906</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFkE1Lw0AYhFdEUGvvgpf9A6n7nd2j1FrFipd6rm-SNxrd7Ep2S8m_N2DBucw8l2EYQq45W3DO3O3L6n4h2ERaq9KU5oRcciWUsswJcfoPXJ2TeUpfbJLSopT6grxvD7FIGT6QPoPvIdC28xkH2saBpq7f-wwB4z7RFqZMITS0QQ8jxZS7HnIXA-0CDZgPcfjGhtYx5CF6msaUsU9X5KwFn3B-9Bl5e1htl4_F5nX9tLzbFJ-CuVwIVZYVr5l2DWqrLFheGqOtqDgwLaSx2rS2rpitHLNSWJRoLBO6cjW00sgZufnr7RBx9zNM24Zxd3xE_gJy4FTU</recordid><startdate>201006</startdate><enddate>201006</enddate><creator>Chabir, K</creator><creator>Sauter, D</creator><creator>Al-Salami, I M</creator><creator>Abdelkrim, M N</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201006</creationdate><title>Two-stage Kalman filter for simultaneous fault and delay estimation in networked control systems</title><author>Chabir, K ; Sauter, D ; Al-Salami, I M ; Abdelkrim, M N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-h209t-2477b1c059de5848a81766582b1a05236856f8cb08b908328e3e68025b9caf363</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Actuators</topic><topic>Delay</topic><topic>Equations</topic><topic>Estimation</topic><topic>Kalman filters</topic><topic>Mathematical model</topic><topic>Networked control systems</topic><toplevel>online_resources</toplevel><creatorcontrib>Chabir, K</creatorcontrib><creatorcontrib>Sauter, D</creatorcontrib><creatorcontrib>Al-Salami, I M</creatorcontrib><creatorcontrib>Abdelkrim, M N</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chabir, K</au><au>Sauter, D</au><au>Al-Salami, I M</au><au>Abdelkrim, M N</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Two-stage Kalman filter for simultaneous fault and delay estimation in networked control systems</atitle><btitle>18th Mediterranean Conference on Control and Automation, MED'10</btitle><stitle>MED</stitle><date>2010-06</date><risdate>2010</risdate><spage>249</spage><epage>254</epage><pages>249-254</pages><isbn>1424480914</isbn><isbn>9781424480913</isbn><eisbn>1424480922</eisbn><eisbn>9781424480920</eisbn><eisbn>1424480906</eisbn><eisbn>9781424480906</eisbn><abstract>Networked Control Systems are becoming very popular nowadays. However, the use of networks in the control loop induces extra difficulties in diagnosis. In this paper we propose a method for estimate fault as well delay induced by the network. Inspired from the Kalman filter previously proposed by Sinopoli et al. and Hsieh et al., two solutions are presented; the augmented and the two-stage Kalman filter. Main attention is paid for the last one. The delay and the fault are integrated as a state variable. It is supposed that the delay and the fault are random variables. In addition, we provide some analytic results to demonstrate the computational advantages of two-stage Kalman filter over augmented ones. An example illustrates the obtained results is given.</abstract><pub>IEEE</pub><doi>10.1109/MED.2010.5547676</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 1424480914
ispartof 18th Mediterranean Conference on Control and Automation, MED'10, 2010, p.249-254
issn
language eng
recordid cdi_ieee_primary_5547676
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Actuators
Delay
Equations
Estimation
Kalman filters
Mathematical model
Networked control systems
title Two-stage Kalman filter for simultaneous fault and delay estimation in networked control systems
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T22%3A06%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Two-stage%20Kalman%20filter%20for%20simultaneous%20fault%20and%20delay%20estimation%20in%20networked%20control%20systems&rft.btitle=18th%20Mediterranean%20Conference%20on%20Control%20and%20Automation,%20MED'10&rft.au=Chabir,%20K&rft.date=2010-06&rft.spage=249&rft.epage=254&rft.pages=249-254&rft.isbn=1424480914&rft.isbn_list=9781424480913&rft_id=info:doi/10.1109/MED.2010.5547676&rft.eisbn=1424480922&rft.eisbn_list=9781424480920&rft.eisbn_list=1424480906&rft.eisbn_list=9781424480906&rft_dat=%3Cieee_6IE%3E5547676%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-h209t-2477b1c059de5848a81766582b1a05236856f8cb08b908328e3e68025b9caf363%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5547676&rfr_iscdi=true