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A fault detection observer design for LPV systems in finite frequency domain
This paper addresses the fault detection observer design problem for linear parameter-varying systems. Two finite frequency performance indexes are introduced to measure the fault sensitivity and the disturbance robustness. First, the H − index fault sensitivity condition in finite frequency domain...
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Published in: | International journal of control 2015-03, Vol.88 (3), p.571-584 |
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container_title | International journal of control |
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creator | Chen, Jianliang Cao, Yong-Yan Zhang, Weidong |
description | This paper addresses the fault detection observer design problem for linear parameter-varying systems. Two finite frequency performance indexes are introduced to measure the fault sensitivity and the disturbance robustness. First, the H
−
index fault sensitivity condition in finite frequency domain is obtained by generalised Kalman-Yakubovich-Popov lemma and new linearisation techniques. Then, with the aid of Kalman-Yakubovich-Popov lemma and projection lemma, the stability and robustness conditions are derived. It turns out that the non-convexity problem which is caused by dealing with the above three conditions can be translated into a bilinear matrix inequality optimisation problem by increasing the dimensions of slack variable matrix. An iterative linear matrix inequality algorithm is proposed to get the solution. The effectiveness of the filter is shown via three numerical examples. |
doi_str_mv | 10.1080/00207179.2014.966326 |
format | article |
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−
index fault sensitivity condition in finite frequency domain is obtained by generalised Kalman-Yakubovich-Popov lemma and new linearisation techniques. Then, with the aid of Kalman-Yakubovich-Popov lemma and projection lemma, the stability and robustness conditions are derived. It turns out that the non-convexity problem which is caused by dealing with the above three conditions can be translated into a bilinear matrix inequality optimisation problem by increasing the dimensions of slack variable matrix. An iterative linear matrix inequality algorithm is proposed to get the solution. The effectiveness of the filter is shown via three numerical examples.</description><identifier>ISSN: 0020-7179</identifier><identifier>EISSN: 1366-5820</identifier><identifier>DOI: 10.1080/00207179.2014.966326</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis</publisher><subject>Design engineering ; Fault detection ; Faults ; Frequency domains ; generalised Kalman-Yakubovich-Popov lemma ; index ; linear matrix inequalities ; linear parameter-varying systems ; Mathematical analysis ; Mathematical models ; Optimization ; Performance indices ; Robustness</subject><ispartof>International journal of control, 2015-03, Vol.88 (3), p.571-584</ispartof><rights>2014 Taylor & Francis 2014</rights><rights>2014 Taylor & Francis</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-6ee8f8165020edff1e7a0971fb5e830312003ae39863fcb1f7acd443d3a995d43</citedby><cites>FETCH-LOGICAL-c438t-6ee8f8165020edff1e7a0971fb5e830312003ae39863fcb1f7acd443d3a995d43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Chen, Jianliang</creatorcontrib><creatorcontrib>Cao, Yong-Yan</creatorcontrib><creatorcontrib>Zhang, Weidong</creatorcontrib><title>A fault detection observer design for LPV systems in finite frequency domain</title><title>International journal of control</title><description>This paper addresses the fault detection observer design problem for linear parameter-varying systems. Two finite frequency performance indexes are introduced to measure the fault sensitivity and the disturbance robustness. First, the H
−
index fault sensitivity condition in finite frequency domain is obtained by generalised Kalman-Yakubovich-Popov lemma and new linearisation techniques. Then, with the aid of Kalman-Yakubovich-Popov lemma and projection lemma, the stability and robustness conditions are derived. It turns out that the non-convexity problem which is caused by dealing with the above three conditions can be translated into a bilinear matrix inequality optimisation problem by increasing the dimensions of slack variable matrix. An iterative linear matrix inequality algorithm is proposed to get the solution. The effectiveness of the filter is shown via three numerical examples.</description><subject>Design engineering</subject><subject>Fault detection</subject><subject>Faults</subject><subject>Frequency domains</subject><subject>generalised Kalman-Yakubovich-Popov lemma</subject><subject>index</subject><subject>linear matrix inequalities</subject><subject>linear parameter-varying systems</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Optimization</subject><subject>Performance indices</subject><subject>Robustness</subject><issn>0020-7179</issn><issn>1366-5820</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKv_wEPAi5etk002mz1JEb-goAf1GtLdiaTsJjXZKv33plQvHjwNDM878_IQcs5gxkDBFUAJNaubWQlMzBopeSkPyIRxKYtKlXBIJjuk2DHH5CSlFQDjlWITsphTazb9SDscsR1d8DQsE8ZPjHmV3LunNkS6eH6jaZtGHBJ1eeW8G5HaiB8b9O2WdmEwzp-SI2v6hGc_c0pe725fbh6KxdP94818UbSCq7GQiMoqJqvcCTtrGdYGmprZZYWKA2clADfIGyW5bZfM1qbthOAdN01TdYJPyeX-7jqGXCCNenCpxb43HsMmaaYAhCjLCjJ68QddhU30uZ1mUije5HcqU2JPtTGkFNHqdXSDiVvNQO8U61_FeqdY7xXn2PU-5nyWNJivEPtOj2bbh2ij8a1Lmv974RtmdIEe</recordid><startdate>20150304</startdate><enddate>20150304</enddate><creator>Chen, Jianliang</creator><creator>Cao, Yong-Yan</creator><creator>Zhang, Weidong</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20150304</creationdate><title>A fault detection observer design for LPV systems in finite frequency domain</title><author>Chen, Jianliang ; Cao, Yong-Yan ; Zhang, Weidong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-6ee8f8165020edff1e7a0971fb5e830312003ae39863fcb1f7acd443d3a995d43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Design engineering</topic><topic>Fault detection</topic><topic>Faults</topic><topic>Frequency domains</topic><topic>generalised Kalman-Yakubovich-Popov lemma</topic><topic>index</topic><topic>linear matrix inequalities</topic><topic>linear parameter-varying systems</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Optimization</topic><topic>Performance indices</topic><topic>Robustness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Jianliang</creatorcontrib><creatorcontrib>Cao, Yong-Yan</creatorcontrib><creatorcontrib>Zhang, Weidong</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Jianliang</au><au>Cao, Yong-Yan</au><au>Zhang, Weidong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A fault detection observer design for LPV systems in finite frequency domain</atitle><jtitle>International journal of control</jtitle><date>2015-03-04</date><risdate>2015</risdate><volume>88</volume><issue>3</issue><spage>571</spage><epage>584</epage><pages>571-584</pages><issn>0020-7179</issn><eissn>1366-5820</eissn><abstract>This paper addresses the fault detection observer design problem for linear parameter-varying systems. Two finite frequency performance indexes are introduced to measure the fault sensitivity and the disturbance robustness. First, the H
−
index fault sensitivity condition in finite frequency domain is obtained by generalised Kalman-Yakubovich-Popov lemma and new linearisation techniques. Then, with the aid of Kalman-Yakubovich-Popov lemma and projection lemma, the stability and robustness conditions are derived. It turns out that the non-convexity problem which is caused by dealing with the above three conditions can be translated into a bilinear matrix inequality optimisation problem by increasing the dimensions of slack variable matrix. An iterative linear matrix inequality algorithm is proposed to get the solution. The effectiveness of the filter is shown via three numerical examples.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/00207179.2014.966326</doi><tpages>14</tpages></addata></record> |
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subjects | Design engineering Fault detection Faults Frequency domains generalised Kalman-Yakubovich-Popov lemma index linear matrix inequalities linear parameter-varying systems Mathematical analysis Mathematical models Optimization Performance indices Robustness |
title | A fault detection observer design for LPV systems in finite frequency domain |
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