Comparative study of parametric and structural methodologies in identification of an experimental nonlinear process
Presents a comparative study of parametric and structural identification methodologies when applied to the identification of an experimental nonlinear process. Several approaches for parametric identification are presented, such as: (i) linear mathematical model obtained through recursive least-squa...
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 | 1067 vol. 2 |
|---|---|
| container_issue | |
| container_start_page | 1062 |
| container_title | |
| container_volume | 2 |
| creator | Marchi, P.A. dos Santos Coelho, L. Coelho, A.A.R. |
| description | Presents a comparative study of parametric and structural identification methodologies when applied to the identification of an experimental nonlinear process. Several approaches for parametric identification are presented, such as: (i) linear mathematical model obtained through recursive least-squares (RLS), (ii) linear model with estimation algorithm using multi-step-ahead, (iii) Hammerstein model, (iv) Volterra model and, (v) bilinear model. Two structural approaches for neural network configuration are used: (i) multilayer perceptron, and (vii) radial basis function. An experimental evaluation is performed on a fan-and-plate process which exhibits complex features. The main characteristics of each identification methodologies and experimental results are assessed and compared using performance indices and validation response curves. |
| doi_str_mv | 10.1109/CCA.1999.801057 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_801057</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>801057</ieee_id><sourcerecordid>801057</sourcerecordid><originalsourceid>FETCH-ieee_primary_8010573</originalsourceid><addsrcrecordid>eNp9jssKwjAQRQMi-OpacDU_YE1oq-1SiuIHuHBXQjrVkTYpSSr690Z07WwunMu5DGNLwWMheLEpy30siqKIcy54thuxGd_lPMnSdHuZsMi5Ow-XZoJv8ylzpel6aaWnB4LzQ_0C08CHdOgtKZC6DtwOyg9WthDozdSmNVdCB6SBatSeGlJhwuiPLDXgs0dLXWiCoo1uSaO00Fuj0LkFGzeydRj9cs5Wx8O5PK0JEas-iNK-qu_7yd_yDRwiTIU</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Comparative study of parametric and structural methodologies in identification of an experimental nonlinear process</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Marchi, P.A. ; dos Santos Coelho, L. ; Coelho, A.A.R.</creator><creatorcontrib>Marchi, P.A. ; dos Santos Coelho, L. ; Coelho, A.A.R.</creatorcontrib><description>Presents a comparative study of parametric and structural identification methodologies when applied to the identification of an experimental nonlinear process. Several approaches for parametric identification are presented, such as: (i) linear mathematical model obtained through recursive least-squares (RLS), (ii) linear model with estimation algorithm using multi-step-ahead, (iii) Hammerstein model, (iv) Volterra model and, (v) bilinear model. Two structural approaches for neural network configuration are used: (i) multilayer perceptron, and (vii) radial basis function. An experimental evaluation is performed on a fan-and-plate process which exhibits complex features. The main characteristics of each identification methodologies and experimental results are assessed and compared using performance indices and validation response curves.</description><identifier>ISBN: 078035446X</identifier><identifier>ISBN: 9780780354463</identifier><identifier>DOI: 10.1109/CCA.1999.801057</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cost function ; Equations ; Mathematical model ; Multilayer perceptrons ; Neural networks ; Parametric statistics ; Prediction algorithms ; Predictive models ; Recursive estimation ; Resonance light scattering</subject><ispartof>Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328), 1999, Vol.2, p.1062-1067 vol. 2</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/801057$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,4035,4036,27904,54899</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/801057$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Marchi, P.A.</creatorcontrib><creatorcontrib>dos Santos Coelho, L.</creatorcontrib><creatorcontrib>Coelho, A.A.R.</creatorcontrib><title>Comparative study of parametric and structural methodologies in identification of an experimental nonlinear process</title><title>Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328)</title><addtitle>CCA</addtitle><description>Presents a comparative study of parametric and structural identification methodologies when applied to the identification of an experimental nonlinear process. Several approaches for parametric identification are presented, such as: (i) linear mathematical model obtained through recursive least-squares (RLS), (ii) linear model with estimation algorithm using multi-step-ahead, (iii) Hammerstein model, (iv) Volterra model and, (v) bilinear model. Two structural approaches for neural network configuration are used: (i) multilayer perceptron, and (vii) radial basis function. An experimental evaluation is performed on a fan-and-plate process which exhibits complex features. The main characteristics of each identification methodologies and experimental results are assessed and compared using performance indices and validation response curves.</description><subject>Cost function</subject><subject>Equations</subject><subject>Mathematical model</subject><subject>Multilayer perceptrons</subject><subject>Neural networks</subject><subject>Parametric statistics</subject><subject>Prediction algorithms</subject><subject>Predictive models</subject><subject>Recursive estimation</subject><subject>Resonance light scattering</subject><isbn>078035446X</isbn><isbn>9780780354463</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1999</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jssKwjAQRQMi-OpacDU_YE1oq-1SiuIHuHBXQjrVkTYpSSr690Z07WwunMu5DGNLwWMheLEpy30siqKIcy54thuxGd_lPMnSdHuZsMi5Ow-XZoJv8ylzpel6aaWnB4LzQ_0C08CHdOgtKZC6DtwOyg9WthDozdSmNVdCB6SBatSeGlJhwuiPLDXgs0dLXWiCoo1uSaO00Fuj0LkFGzeydRj9cs5Wx8O5PK0JEas-iNK-qu_7yd_yDRwiTIU</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Marchi, P.A.</creator><creator>dos Santos Coelho, L.</creator><creator>Coelho, A.A.R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1999</creationdate><title>Comparative study of parametric and structural methodologies in identification of an experimental nonlinear process</title><author>Marchi, P.A. ; dos Santos Coelho, L. ; Coelho, A.A.R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_8010573</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Cost function</topic><topic>Equations</topic><topic>Mathematical model</topic><topic>Multilayer perceptrons</topic><topic>Neural networks</topic><topic>Parametric statistics</topic><topic>Prediction algorithms</topic><topic>Predictive models</topic><topic>Recursive estimation</topic><topic>Resonance light scattering</topic><toplevel>online_resources</toplevel><creatorcontrib>Marchi, P.A.</creatorcontrib><creatorcontrib>dos Santos Coelho, L.</creatorcontrib><creatorcontrib>Coelho, A.A.R.</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 Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Marchi, P.A.</au><au>dos Santos Coelho, L.</au><au>Coelho, A.A.R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Comparative study of parametric and structural methodologies in identification of an experimental nonlinear process</atitle><btitle>Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328)</btitle><stitle>CCA</stitle><date>1999</date><risdate>1999</risdate><volume>2</volume><spage>1062</spage><epage>1067 vol. 2</epage><pages>1062-1067 vol. 2</pages><isbn>078035446X</isbn><isbn>9780780354463</isbn><abstract>Presents a comparative study of parametric and structural identification methodologies when applied to the identification of an experimental nonlinear process. Several approaches for parametric identification are presented, such as: (i) linear mathematical model obtained through recursive least-squares (RLS), (ii) linear model with estimation algorithm using multi-step-ahead, (iii) Hammerstein model, (iv) Volterra model and, (v) bilinear model. Two structural approaches for neural network configuration are used: (i) multilayer perceptron, and (vii) radial basis function. An experimental evaluation is performed on a fan-and-plate process which exhibits complex features. The main characteristics of each identification methodologies and experimental results are assessed and compared using performance indices and validation response curves.</abstract><pub>IEEE</pub><doi>10.1109/CCA.1999.801057</doi></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 078035446X |
| ispartof | Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328), 1999, Vol.2, p.1062-1067 vol. 2 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_801057 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cost function Equations Mathematical model Multilayer perceptrons Neural networks Parametric statistics Prediction algorithms Predictive models Recursive estimation Resonance light scattering |
| title | Comparative study of parametric and structural methodologies in identification of an experimental nonlinear process |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T03%3A09%3A07IST&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=Comparative%20study%20of%20parametric%20and%20structural%20methodologies%20in%20identification%20of%20an%20experimental%20nonlinear%20process&rft.btitle=Proceedings%20of%20the%201999%20IEEE%20International%20Conference%20on%20Control%20Applications%20(Cat.%20No.99CH36328)&rft.au=Marchi,%20P.A.&rft.date=1999&rft.volume=2&rft.spage=1062&rft.epage=1067%20vol.%202&rft.pages=1062-1067%20vol.%202&rft.isbn=078035446X&rft.isbn_list=9780780354463&rft_id=info:doi/10.1109/CCA.1999.801057&rft_dat=%3Cieee_6IE%3E801057%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=801057&rfr_iscdi=true |