Iterative learning identification
An iterative learning identification method is proposed for curve identification problems. The basic idea is to convert the curve identification problem into an optimal tracking control problem. The measured trajectories are regarded as the desired trajectories to be optimally tracked and the curve...
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 | 4707 vol.5 |
|---|---|
| container_issue | |
| container_start_page | 4702 |
| container_title | |
| container_volume | 5 |
| creator | Yangquan Chen Changyun Wen Huifang Dou Mingxuan Sun |
| description | An iterative learning identification method is proposed for curve identification problems. The basic idea is to convert the curve identification problem into an optimal tracking control problem. The measured trajectories are regarded as the desired trajectories to be optimally tracked and the curve to be identified is taken as a virtual control function. A high-order learning updating law is applied. A convergence condition is obtained in a general problem setting. Two case studies, which are related to the aerodynamic drag coefficient curve extraction from actual flight testing data, are presented to show the practical usefulness of the proposed method. |
| doi_str_mv | 10.1109/CDC.1997.649745 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_649745</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>649745</ieee_id><sourcerecordid>649745</sourcerecordid><originalsourceid>FETCH-LOGICAL-i172t-28522a90efc18383bbad5693ea016c3ff929448ed92888398db939bbb1ecd9383</originalsourceid><addsrcrecordid>eNotj0tLAzEURgNV6EPXgqv6A2Z6b5JJ7l3K-Gih4EbXJZncSKSOMjMI_nsLdfXBgXPgU-oGoUYE3rQPbY3MvnaWvW1magmewFgkry_UApCx0hrdXC3H8QMACJxbqLvdJEOYyo-sjxKGvvTv65Kkn0ou3Yl_9VfqMofjKNf_u1JvT4-v7bbavzzv2vt9VdDrqdLUaB0YJHdIhkyMITWOjQRA15mcWbO1JIk1ERmmFNlwjBGlS3wSVur23C0icvgeymcYfg_nN-YP6iU88g</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Iterative learning identification</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Yangquan Chen ; Changyun Wen ; Huifang Dou ; Mingxuan Sun</creator><creatorcontrib>Yangquan Chen ; Changyun Wen ; Huifang Dou ; Mingxuan Sun</creatorcontrib><description>An iterative learning identification method is proposed for curve identification problems. The basic idea is to convert the curve identification problem into an optimal tracking control problem. The measured trajectories are regarded as the desired trajectories to be optimally tracked and the curve to be identified is taken as a virtual control function. A high-order learning updating law is applied. A convergence condition is obtained in a general problem setting. Two case studies, which are related to the aerodynamic drag coefficient curve extraction from actual flight testing data, are presented to show the practical usefulness of the proposed method.</description><identifier>ISSN: 0191-2216</identifier><identifier>ISBN: 0780341872</identifier><identifier>ISBN: 9780780341876</identifier><identifier>DOI: 10.1109/CDC.1997.649745</identifier><language>eng</language><publisher>IEEE</publisher><subject>Aerodynamics ; Control systems ; Convergence ; Instruments ; Iterative methods ; Optimal control ; Radar tracking ; Sun ; System testing ; Trajectory</subject><ispartof>Proceedings of the 36th IEEE Conference on Decision and Control, 1997, Vol.5, p.4702-4707 vol.5</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/649745$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/649745$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yangquan Chen</creatorcontrib><creatorcontrib>Changyun Wen</creatorcontrib><creatorcontrib>Huifang Dou</creatorcontrib><creatorcontrib>Mingxuan Sun</creatorcontrib><title>Iterative learning identification</title><title>Proceedings of the 36th IEEE Conference on Decision and Control</title><addtitle>CDC</addtitle><description>An iterative learning identification method is proposed for curve identification problems. The basic idea is to convert the curve identification problem into an optimal tracking control problem. The measured trajectories are regarded as the desired trajectories to be optimally tracked and the curve to be identified is taken as a virtual control function. A high-order learning updating law is applied. A convergence condition is obtained in a general problem setting. Two case studies, which are related to the aerodynamic drag coefficient curve extraction from actual flight testing data, are presented to show the practical usefulness of the proposed method.</description><subject>Aerodynamics</subject><subject>Control systems</subject><subject>Convergence</subject><subject>Instruments</subject><subject>Iterative methods</subject><subject>Optimal control</subject><subject>Radar tracking</subject><subject>Sun</subject><subject>System testing</subject><subject>Trajectory</subject><issn>0191-2216</issn><isbn>0780341872</isbn><isbn>9780780341876</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1997</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj0tLAzEURgNV6EPXgqv6A2Z6b5JJ7l3K-Gih4EbXJZncSKSOMjMI_nsLdfXBgXPgU-oGoUYE3rQPbY3MvnaWvW1magmewFgkry_UApCx0hrdXC3H8QMACJxbqLvdJEOYyo-sjxKGvvTv65Kkn0ou3Yl_9VfqMofjKNf_u1JvT4-v7bbavzzv2vt9VdDrqdLUaB0YJHdIhkyMITWOjQRA15mcWbO1JIk1ERmmFNlwjBGlS3wSVur23C0icvgeymcYfg_nN-YP6iU88g</recordid><startdate>1997</startdate><enddate>1997</enddate><creator>Yangquan Chen</creator><creator>Changyun Wen</creator><creator>Huifang Dou</creator><creator>Mingxuan Sun</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1997</creationdate><title>Iterative learning identification</title><author>Yangquan Chen ; Changyun Wen ; Huifang Dou ; Mingxuan Sun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-28522a90efc18383bbad5693ea016c3ff929448ed92888398db939bbb1ecd9383</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Aerodynamics</topic><topic>Control systems</topic><topic>Convergence</topic><topic>Instruments</topic><topic>Iterative methods</topic><topic>Optimal control</topic><topic>Radar tracking</topic><topic>Sun</topic><topic>System testing</topic><topic>Trajectory</topic><toplevel>online_resources</toplevel><creatorcontrib>Yangquan Chen</creatorcontrib><creatorcontrib>Changyun Wen</creatorcontrib><creatorcontrib>Huifang Dou</creatorcontrib><creatorcontrib>Mingxuan Sun</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 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>Yangquan Chen</au><au>Changyun Wen</au><au>Huifang Dou</au><au>Mingxuan Sun</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Iterative learning identification</atitle><btitle>Proceedings of the 36th IEEE Conference on Decision and Control</btitle><stitle>CDC</stitle><date>1997</date><risdate>1997</risdate><volume>5</volume><spage>4702</spage><epage>4707 vol.5</epage><pages>4702-4707 vol.5</pages><issn>0191-2216</issn><isbn>0780341872</isbn><isbn>9780780341876</isbn><abstract>An iterative learning identification method is proposed for curve identification problems. The basic idea is to convert the curve identification problem into an optimal tracking control problem. The measured trajectories are regarded as the desired trajectories to be optimally tracked and the curve to be identified is taken as a virtual control function. A high-order learning updating law is applied. A convergence condition is obtained in a general problem setting. Two case studies, which are related to the aerodynamic drag coefficient curve extraction from actual flight testing data, are presented to show the practical usefulness of the proposed method.</abstract><pub>IEEE</pub><doi>10.1109/CDC.1997.649745</doi></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0191-2216 |
| ispartof | Proceedings of the 36th IEEE Conference on Decision and Control, 1997, Vol.5, p.4702-4707 vol.5 |
| issn | 0191-2216 |
| language | eng |
| recordid | cdi_ieee_primary_649745 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Aerodynamics Control systems Convergence Instruments Iterative methods Optimal control Radar tracking Sun System testing Trajectory |
| title | Iterative learning identification |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T09%3A22%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=Iterative%20learning%20identification&rft.btitle=Proceedings%20of%20the%2036th%20IEEE%20Conference%20on%20Decision%20and%20Control&rft.au=Yangquan%20Chen&rft.date=1997&rft.volume=5&rft.spage=4702&rft.epage=4707%20vol.5&rft.pages=4702-4707%20vol.5&rft.issn=0191-2216&rft.isbn=0780341872&rft.isbn_list=9780780341876&rft_id=info:doi/10.1109/CDC.1997.649745&rft_dat=%3Cieee_6IE%3E649745%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=649745&rfr_iscdi=true |