Identification of countercurrent rare earth extraction process based on local linear weighted state-space models
The identification problem of rare earth extraction process, which is based on local linear weighted state-space models, is considered in this paper. The parameter is determined by the optimization of output error cost function. In addition, the nonuniqueness of the fully parameterized state-space i...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 3735 |
---|---|
container_issue | |
container_start_page | 3731 |
container_title | |
container_volume | |
creator | Lusheng Zhong Hui Yang Rongxiu Lu Sun Baohua Meng Shasha |
description | The identification problem of rare earth extraction process, which is based on local linear weighted state-space models, is considered in this paper. The parameter is determined by the optimization of output error cost function. In addition, the nonuniqueness of the fully parameterized state-space is considered and the parameter update is restricted to the direction that change the input-output behavior of the system by orthogonal gradient search. Finally, real industrial experiment of rare earth extraction is implemented and the results show the efficiency of the proposed method. |
doi_str_mv | 10.1109/CCDC.2009.5191916 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5191916</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5191916</ieee_id><sourcerecordid>5191916</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-6e28f137c6320240059bc336ad69ebb01dfe80fde370c523db610d82b917273a3</originalsourceid><addsrcrecordid>eNpVkMtOwzAURM2jEqX0AxAb_0DK9SNOvEThVakSm-4rx76hRmkS2a6Av8cChMTcxZXmjGYxhFwzWDEG-rZp7psVB9Crkul86oQsdVUzyaXkFRf6lMyZlnWhpazO_jHOz_-Y0DNymWtqDQqYuiDLGN8gS5aiFGxOprXDIfnOW5P8ONCxo3Y8DgmDPYaQEQ0mIEUT0p7iRwrGfuemMFqMkbYmoqPZ6Edretr7IUfpO_rXfcogJpOwiJOxSA-jwz5ekVln-ojL378g28eHbfNcbF6e1s3dpvAaUqGQ1x0TlVWCA5cApW6tEMo4pbFtgbkOa-gcigpsyYVrFQNX81azilfCiAW5-an1iLibgj-Y8Ln73VJ8AebAYuE</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Identification of countercurrent rare earth extraction process based on local linear weighted state-space models</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Lusheng Zhong ; Hui Yang ; Rongxiu Lu ; Sun Baohua ; Meng Shasha</creator><creatorcontrib>Lusheng Zhong ; Hui Yang ; Rongxiu Lu ; Sun Baohua ; Meng Shasha</creatorcontrib><description>The identification problem of rare earth extraction process, which is based on local linear weighted state-space models, is considered in this paper. The parameter is determined by the optimization of output error cost function. In addition, the nonuniqueness of the fully parameterized state-space is considered and the parameter update is restricted to the direction that change the input-output behavior of the system by orthogonal gradient search. Finally, real industrial experiment of rare earth extraction is implemented and the results show the efficiency of the proposed method.</description><identifier>ISSN: 1948-9439</identifier><identifier>ISBN: 9781424427222</identifier><identifier>ISBN: 1424427223</identifier><identifier>EISSN: 1948-9447</identifier><identifier>EISBN: 9781424427239</identifier><identifier>EISBN: 1424427231</identifier><identifier>DOI: 10.1109/CCDC.2009.5191916</identifier><identifier>LCCN: 2008906016</identifier><language>eng</language><publisher>IEEE</publisher><subject>Automation ; Cost function ; Educational institutions ; Geoscience ; Least squares approximation ; Nonlinear Least Square ; Parameter estimation ; Rare Earth ; Solvents ; Spectroscopy ; Sun ; System identification</subject><ispartof>2009 Chinese Control and Decision Conference, 2009, p.3731-3735</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/5191916$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5191916$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Lusheng Zhong</creatorcontrib><creatorcontrib>Hui Yang</creatorcontrib><creatorcontrib>Rongxiu Lu</creatorcontrib><creatorcontrib>Sun Baohua</creatorcontrib><creatorcontrib>Meng Shasha</creatorcontrib><title>Identification of countercurrent rare earth extraction process based on local linear weighted state-space models</title><title>2009 Chinese Control and Decision Conference</title><addtitle>CCDC</addtitle><description>The identification problem of rare earth extraction process, which is based on local linear weighted state-space models, is considered in this paper. The parameter is determined by the optimization of output error cost function. In addition, the nonuniqueness of the fully parameterized state-space is considered and the parameter update is restricted to the direction that change the input-output behavior of the system by orthogonal gradient search. Finally, real industrial experiment of rare earth extraction is implemented and the results show the efficiency of the proposed method.</description><subject>Automation</subject><subject>Cost function</subject><subject>Educational institutions</subject><subject>Geoscience</subject><subject>Least squares approximation</subject><subject>Nonlinear Least Square</subject><subject>Parameter estimation</subject><subject>Rare Earth</subject><subject>Solvents</subject><subject>Spectroscopy</subject><subject>Sun</subject><subject>System identification</subject><issn>1948-9439</issn><issn>1948-9447</issn><isbn>9781424427222</isbn><isbn>1424427223</isbn><isbn>9781424427239</isbn><isbn>1424427231</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkMtOwzAURM2jEqX0AxAb_0DK9SNOvEThVakSm-4rx76hRmkS2a6Av8cChMTcxZXmjGYxhFwzWDEG-rZp7psVB9Crkul86oQsdVUzyaXkFRf6lMyZlnWhpazO_jHOz_-Y0DNymWtqDQqYuiDLGN8gS5aiFGxOprXDIfnOW5P8ONCxo3Y8DgmDPYaQEQ0mIEUT0p7iRwrGfuemMFqMkbYmoqPZ6Edretr7IUfpO_rXfcogJpOwiJOxSA-jwz5ekVln-ojL378g28eHbfNcbF6e1s3dpvAaUqGQ1x0TlVWCA5cApW6tEMo4pbFtgbkOa-gcigpsyYVrFQNX81azilfCiAW5-an1iLibgj-Y8Ln73VJ8AebAYuE</recordid><startdate>200906</startdate><enddate>200906</enddate><creator>Lusheng Zhong</creator><creator>Hui Yang</creator><creator>Rongxiu Lu</creator><creator>Sun Baohua</creator><creator>Meng Shasha</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200906</creationdate><title>Identification of countercurrent rare earth extraction process based on local linear weighted state-space models</title><author>Lusheng Zhong ; Hui Yang ; Rongxiu Lu ; Sun Baohua ; Meng Shasha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-6e28f137c6320240059bc336ad69ebb01dfe80fde370c523db610d82b917273a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Automation</topic><topic>Cost function</topic><topic>Educational institutions</topic><topic>Geoscience</topic><topic>Least squares approximation</topic><topic>Nonlinear Least Square</topic><topic>Parameter estimation</topic><topic>Rare Earth</topic><topic>Solvents</topic><topic>Spectroscopy</topic><topic>Sun</topic><topic>System identification</topic><toplevel>online_resources</toplevel><creatorcontrib>Lusheng Zhong</creatorcontrib><creatorcontrib>Hui Yang</creatorcontrib><creatorcontrib>Rongxiu Lu</creatorcontrib><creatorcontrib>Sun Baohua</creatorcontrib><creatorcontrib>Meng Shasha</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</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>Lusheng Zhong</au><au>Hui Yang</au><au>Rongxiu Lu</au><au>Sun Baohua</au><au>Meng Shasha</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Identification of countercurrent rare earth extraction process based on local linear weighted state-space models</atitle><btitle>2009 Chinese Control and Decision Conference</btitle><stitle>CCDC</stitle><date>2009-06</date><risdate>2009</risdate><spage>3731</spage><epage>3735</epage><pages>3731-3735</pages><issn>1948-9439</issn><eissn>1948-9447</eissn><isbn>9781424427222</isbn><isbn>1424427223</isbn><eisbn>9781424427239</eisbn><eisbn>1424427231</eisbn><abstract>The identification problem of rare earth extraction process, which is based on local linear weighted state-space models, is considered in this paper. The parameter is determined by the optimization of output error cost function. In addition, the nonuniqueness of the fully parameterized state-space is considered and the parameter update is restricted to the direction that change the input-output behavior of the system by orthogonal gradient search. Finally, real industrial experiment of rare earth extraction is implemented and the results show the efficiency of the proposed method.</abstract><pub>IEEE</pub><doi>10.1109/CCDC.2009.5191916</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1948-9439 |
ispartof | 2009 Chinese Control and Decision Conference, 2009, p.3731-3735 |
issn | 1948-9439 1948-9447 |
language | eng |
recordid | cdi_ieee_primary_5191916 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Automation Cost function Educational institutions Geoscience Least squares approximation Nonlinear Least Square Parameter estimation Rare Earth Solvents Spectroscopy Sun System identification |
title | Identification of countercurrent rare earth extraction process based on local linear weighted state-space models |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T17%3A37%3A40IST&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=Identification%20of%20countercurrent%20rare%20earth%20extraction%20process%20based%20on%20local%20linear%20weighted%20state-space%20models&rft.btitle=2009%20Chinese%20Control%20and%20Decision%20Conference&rft.au=Lusheng%20Zhong&rft.date=2009-06&rft.spage=3731&rft.epage=3735&rft.pages=3731-3735&rft.issn=1948-9439&rft.eissn=1948-9447&rft.isbn=9781424427222&rft.isbn_list=1424427223&rft_id=info:doi/10.1109/CCDC.2009.5191916&rft_dat=%3Cieee_6IE%3E5191916%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424427239&rft.eisbn_list=1424427231&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5191916&rfr_iscdi=true |