Robust output feedback controller design via genetic algorithms and LMIs: the mixed / Hscr/(2)// Hscr// / infin// problem
This paper deals with the mixed / Hscr/(2)// Hscr// / infin// control problem for uncertain continuous-time linear systems. The polytopic parametric uncertainties are studied. Based on genetic algorithms (GAs) and linear matrix inequalities (LMIs), a hybrid algorithm is presented for numerical compu...
Gespeichert in:
| Veröffentlicht in: | 2004 American Control Conference Proceedings; Volume 4 of 6 2004-06, Vol.4, p.3309-3314 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 3314 |
|---|---|
| container_issue | |
| container_start_page | 3309 |
| container_title | 2004 American Control Conference Proceedings; Volume 4 of 6 |
| container_volume | 4 |
| creator | Pereira, G J de Araujo, H X |
| description | This paper deals with the mixed / Hscr/(2)// Hscr// / infin// control problem for uncertain continuous-time linear systems. The polytopic parametric uncertainties are studied. Based on genetic algorithms (GAs) and linear matrix inequalities (LMIs), a hybrid algorithm is presented for numerical computation of an optimal fixed-order static or dynamic output feedback robust controller. The genetic algorithm is used to obtain the population of controllers and the LMI based routines are used to minimize some performance criterion. The problem is formulated in terms of different Lyapunov functions. This approach can be used for synthesis of reduced or full-order controllers. Some examples borrowed from the literature are discussed to illustrate and validate this approach. |
| format | Article |
| fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_29948833</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>29948833</sourcerecordid><originalsourceid>FETCH-proquest_miscellaneous_299488333</originalsourceid><addsrcrecordid>eNqNj0FrAjEUhAOtUKv-h3cq9iCbNdbdeBWLhfZSvEs2-3ZNm000L5H23zcHf0BhYD5m5jJ3bCarmmeJWoiX6p6NebUSi3Jdygf2SPTFeSnlmo_Z76dvEkXwKZ5ThA6xbZT-Bu1dDN5aDNAimd7B1Sjo0WE0GpTtfTDxNBAo18L7xxttIJ4QBvODLRSwJx2K-fK5uGGRM-M64zKdg28sDlM26pQlnN18wp5ed4ftfpH7S0KKx8GQRmuVQ5_ouJRyVec74t_DP8y4UNU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>29948833</pqid></control><display><type>article</type><title>Robust output feedback controller design via genetic algorithms and LMIs: the mixed / Hscr/(2)// Hscr// / infin// problem</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Pereira, G J ; de Araujo, H X</creator><creatorcontrib>Pereira, G J ; de Araujo, H X</creatorcontrib><description>This paper deals with the mixed / Hscr/(2)// Hscr// / infin// control problem for uncertain continuous-time linear systems. The polytopic parametric uncertainties are studied. Based on genetic algorithms (GAs) and linear matrix inequalities (LMIs), a hybrid algorithm is presented for numerical computation of an optimal fixed-order static or dynamic output feedback robust controller. The genetic algorithm is used to obtain the population of controllers and the LMI based routines are used to minimize some performance criterion. The problem is formulated in terms of different Lyapunov functions. This approach can be used for synthesis of reduced or full-order controllers. Some examples borrowed from the literature are discussed to illustrate and validate this approach.</description><identifier>ISSN: 0743-1619</identifier><identifier>ISBN: 9780780383357</identifier><identifier>ISBN: 0780383354</identifier><language>eng</language><ispartof>2004 American Control Conference Proceedings; Volume 4 of 6, 2004-06, Vol.4, p.3309-3314</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Pereira, G J</creatorcontrib><creatorcontrib>de Araujo, H X</creatorcontrib><title>Robust output feedback controller design via genetic algorithms and LMIs: the mixed / Hscr/(2)// Hscr// / infin// problem</title><title>2004 American Control Conference Proceedings; Volume 4 of 6</title><description>This paper deals with the mixed / Hscr/(2)// Hscr// / infin// control problem for uncertain continuous-time linear systems. The polytopic parametric uncertainties are studied. Based on genetic algorithms (GAs) and linear matrix inequalities (LMIs), a hybrid algorithm is presented for numerical computation of an optimal fixed-order static or dynamic output feedback robust controller. The genetic algorithm is used to obtain the population of controllers and the LMI based routines are used to minimize some performance criterion. The problem is formulated in terms of different Lyapunov functions. This approach can be used for synthesis of reduced or full-order controllers. Some examples borrowed from the literature are discussed to illustrate and validate this approach.</description><issn>0743-1619</issn><isbn>9780780383357</isbn><isbn>0780383354</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNqNj0FrAjEUhAOtUKv-h3cq9iCbNdbdeBWLhfZSvEs2-3ZNm000L5H23zcHf0BhYD5m5jJ3bCarmmeJWoiX6p6NebUSi3Jdygf2SPTFeSnlmo_Z76dvEkXwKZ5ThA6xbZT-Bu1dDN5aDNAimd7B1Sjo0WE0GpTtfTDxNBAo18L7xxttIJ4QBvODLRSwJx2K-fK5uGGRM-M64zKdg28sDlM26pQlnN18wp5ed4ftfpH7S0KKx8GQRmuVQ5_ouJRyVec74t_DP8y4UNU</recordid><startdate>20040630</startdate><enddate>20040630</enddate><creator>Pereira, G J</creator><creator>de Araujo, H X</creator><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20040630</creationdate><title>Robust output feedback controller design via genetic algorithms and LMIs: the mixed / Hscr/(2)// Hscr// / infin// problem</title><author>Pereira, G J ; de Araujo, H X</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_miscellaneous_299488333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Pereira, G J</creatorcontrib><creatorcontrib>de Araujo, H X</creatorcontrib><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</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>2004 American Control Conference Proceedings; Volume 4 of 6</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pereira, G J</au><au>de Araujo, H X</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust output feedback controller design via genetic algorithms and LMIs: the mixed / Hscr/(2)// Hscr// / infin// problem</atitle><jtitle>2004 American Control Conference Proceedings; Volume 4 of 6</jtitle><date>2004-06-30</date><risdate>2004</risdate><volume>4</volume><spage>3309</spage><epage>3314</epage><pages>3309-3314</pages><issn>0743-1619</issn><isbn>9780780383357</isbn><isbn>0780383354</isbn><abstract>This paper deals with the mixed / Hscr/(2)// Hscr// / infin// control problem for uncertain continuous-time linear systems. The polytopic parametric uncertainties are studied. Based on genetic algorithms (GAs) and linear matrix inequalities (LMIs), a hybrid algorithm is presented for numerical computation of an optimal fixed-order static or dynamic output feedback robust controller. The genetic algorithm is used to obtain the population of controllers and the LMI based routines are used to minimize some performance criterion. The problem is formulated in terms of different Lyapunov functions. This approach can be used for synthesis of reduced or full-order controllers. Some examples borrowed from the literature are discussed to illustrate and validate this approach.</abstract></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0743-1619 |
| ispartof | 2004 American Control Conference Proceedings; Volume 4 of 6, 2004-06, Vol.4, p.3309-3314 |
| issn | 0743-1619 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_29948833 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| title | Robust output feedback controller design via genetic algorithms and LMIs: the mixed / Hscr/(2)// Hscr// / infin// problem |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T07%3A28%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Robust%20output%20feedback%20controller%20design%20via%20genetic%20algorithms%20and%20LMIs:%20the%20mixed%20/%20Hscr/(2)//%20Hscr//%20/%20infin//%20problem&rft.jtitle=2004%20American%20Control%20Conference%20Proceedings;%20Volume%204%20of%206&rft.au=Pereira,%20G%20J&rft.date=2004-06-30&rft.volume=4&rft.spage=3309&rft.epage=3314&rft.pages=3309-3314&rft.issn=0743-1619&rft.isbn=9780780383357&rft.isbn_list=0780383354&rft_id=info:doi/&rft_dat=%3Cproquest%3E29948833%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=29948833&rft_id=info:pmid/&rfr_iscdi=true |