Discretization of nonlinear models using a modified Carleman linearization technique

A modification of the Carleman linearization procedure (1932) is proposed for discretizing nonlinear dynamic models for digital control applications. Neglected terms of a truncated Taylor series are approximated as linear combinations of kept terms. The process involves a series of adjustable parame...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Al-Tuwaim, M.S., Crisalle, O.D., Svoronos, S.A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 3088 vol.5
container_issue
container_start_page 3084
container_title
container_volume 5
creator Al-Tuwaim, M.S.
Crisalle, O.D.
Svoronos, S.A.
description A modification of the Carleman linearization procedure (1932) is proposed for discretizing nonlinear dynamic models for digital control applications. Neglected terms of a truncated Taylor series are approximated as linear combinations of kept terms. The process involves a series of adjustable parameters which are determined via optimization. Integration of the resulting linear model over a sampling period yields an analytic discrete-time model. Excellent discrete models of low orders are obtained in a study involving the nonlinear model of an isothermal continuous stirred tank reactor. The technique displays improved accuracy over a standard Carleman approach of the same order.
doi_str_mv 10.1109/ACC.1998.688425
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_688425</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>688425</ieee_id><sourcerecordid>688425</sourcerecordid><originalsourceid>FETCH-LOGICAL-i172t-b717d7c789282f5b3c5852f60f1763af0218a37f8de2b19838b3d62df5d222cf3</originalsourceid><addsrcrecordid>eNo1kLtOxDAURC0eEtmFGonKP5Dga8f2dbkKT2klmqVeObENRokDcbaArwcUqEZHmjPFEHIJrAJg5nrTNBUYg5VCrLk8IgUXGkuJCo7JimlkopaC1SekYLoWJSgwZ2SV8xtjP55iBdndxNxNfo5fdo5jomOgaUx9TN5OdBid7zM95JheqP3FGKJ3tLFT7web6NL7d2ffvab4cfDn5DTYPvuLv1yT57vbXfNQbp_uH5vNtoyg-Vy2GrTTnUbDkQfZik6i5EGxAFoJGxgHtEIHdJ63YFBgK5ziLkjHOe-CWJOrZTd67_fvUxzs9LlfzhDf9PVR8w</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Discretization of nonlinear models using a modified Carleman linearization technique</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Al-Tuwaim, M.S. ; Crisalle, O.D. ; Svoronos, S.A.</creator><creatorcontrib>Al-Tuwaim, M.S. ; Crisalle, O.D. ; Svoronos, S.A.</creatorcontrib><description>A modification of the Carleman linearization procedure (1932) is proposed for discretizing nonlinear dynamic models for digital control applications. Neglected terms of a truncated Taylor series are approximated as linear combinations of kept terms. The process involves a series of adjustable parameters which are determined via optimization. Integration of the resulting linear model over a sampling period yields an analytic discrete-time model. Excellent discrete models of low orders are obtained in a study involving the nonlinear model of an isothermal continuous stirred tank reactor. The technique displays improved accuracy over a standard Carleman approach of the same order.</description><identifier>ISSN: 0743-1619</identifier><identifier>ISBN: 0780345304</identifier><identifier>ISBN: 9780780345300</identifier><identifier>EISSN: 2378-5861</identifier><identifier>DOI: 10.1109/ACC.1998.688425</identifier><language>eng</language><publisher>IEEE</publisher><subject>Input variables ; Linear approximation ; Linear systems ; Linearization techniques ; State estimation ; Vectors ; Yield estimation</subject><ispartof>Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), 1998, Vol.5, p.3084-3088 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/688425$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/688425$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Al-Tuwaim, M.S.</creatorcontrib><creatorcontrib>Crisalle, O.D.</creatorcontrib><creatorcontrib>Svoronos, S.A.</creatorcontrib><title>Discretization of nonlinear models using a modified Carleman linearization technique</title><title>Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207)</title><addtitle>ACC</addtitle><description>A modification of the Carleman linearization procedure (1932) is proposed for discretizing nonlinear dynamic models for digital control applications. Neglected terms of a truncated Taylor series are approximated as linear combinations of kept terms. The process involves a series of adjustable parameters which are determined via optimization. Integration of the resulting linear model over a sampling period yields an analytic discrete-time model. Excellent discrete models of low orders are obtained in a study involving the nonlinear model of an isothermal continuous stirred tank reactor. The technique displays improved accuracy over a standard Carleman approach of the same order.</description><subject>Input variables</subject><subject>Linear approximation</subject><subject>Linear systems</subject><subject>Linearization techniques</subject><subject>State estimation</subject><subject>Vectors</subject><subject>Yield estimation</subject><issn>0743-1619</issn><issn>2378-5861</issn><isbn>0780345304</isbn><isbn>9780780345300</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kLtOxDAURC0eEtmFGonKP5Dga8f2dbkKT2klmqVeObENRokDcbaArwcUqEZHmjPFEHIJrAJg5nrTNBUYg5VCrLk8IgUXGkuJCo7JimlkopaC1SekYLoWJSgwZ2SV8xtjP55iBdndxNxNfo5fdo5jomOgaUx9TN5OdBid7zM95JheqP3FGKJ3tLFT7web6NL7d2ffvab4cfDn5DTYPvuLv1yT57vbXfNQbp_uH5vNtoyg-Vy2GrTTnUbDkQfZik6i5EGxAFoJGxgHtEIHdJ63YFBgK5ziLkjHOe-CWJOrZTd67_fvUxzs9LlfzhDf9PVR8w</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Al-Tuwaim, M.S.</creator><creator>Crisalle, O.D.</creator><creator>Svoronos, S.A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1998</creationdate><title>Discretization of nonlinear models using a modified Carleman linearization technique</title><author>Al-Tuwaim, M.S. ; Crisalle, O.D. ; Svoronos, S.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-b717d7c789282f5b3c5852f60f1763af0218a37f8de2b19838b3d62df5d222cf3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Input variables</topic><topic>Linear approximation</topic><topic>Linear systems</topic><topic>Linearization techniques</topic><topic>State estimation</topic><topic>Vectors</topic><topic>Yield estimation</topic><toplevel>online_resources</toplevel><creatorcontrib>Al-Tuwaim, M.S.</creatorcontrib><creatorcontrib>Crisalle, O.D.</creatorcontrib><creatorcontrib>Svoronos, S.A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Al-Tuwaim, M.S.</au><au>Crisalle, O.D.</au><au>Svoronos, S.A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Discretization of nonlinear models using a modified Carleman linearization technique</atitle><btitle>Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207)</btitle><stitle>ACC</stitle><date>1998</date><risdate>1998</risdate><volume>5</volume><spage>3084</spage><epage>3088 vol.5</epage><pages>3084-3088 vol.5</pages><issn>0743-1619</issn><eissn>2378-5861</eissn><isbn>0780345304</isbn><isbn>9780780345300</isbn><abstract>A modification of the Carleman linearization procedure (1932) is proposed for discretizing nonlinear dynamic models for digital control applications. Neglected terms of a truncated Taylor series are approximated as linear combinations of kept terms. The process involves a series of adjustable parameters which are determined via optimization. Integration of the resulting linear model over a sampling period yields an analytic discrete-time model. Excellent discrete models of low orders are obtained in a study involving the nonlinear model of an isothermal continuous stirred tank reactor. The technique displays improved accuracy over a standard Carleman approach of the same order.</abstract><pub>IEEE</pub><doi>10.1109/ACC.1998.688425</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0743-1619
ispartof Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), 1998, Vol.5, p.3084-3088 vol.5
issn 0743-1619
2378-5861
language eng
recordid cdi_ieee_primary_688425
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Input variables
Linear approximation
Linear systems
Linearization techniques
State estimation
Vectors
Yield estimation
title Discretization of nonlinear models using a modified Carleman linearization technique
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T05%3A40%3A35IST&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=Discretization%20of%20nonlinear%20models%20using%20a%20modified%20Carleman%20linearization%20technique&rft.btitle=Proceedings%20of%20the%201998%20American%20Control%20Conference.%20ACC%20(IEEE%20Cat.%20No.98CH36207)&rft.au=Al-Tuwaim,%20M.S.&rft.date=1998&rft.volume=5&rft.spage=3084&rft.epage=3088%20vol.5&rft.pages=3084-3088%20vol.5&rft.issn=0743-1619&rft.eissn=2378-5861&rft.isbn=0780345304&rft.isbn_list=9780780345300&rft_id=info:doi/10.1109/ACC.1998.688425&rft_dat=%3Cieee_6IE%3E688425%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=688425&rfr_iscdi=true