Genetic design of a gain-scheduled controller for a nonlinear concentration control system
The technique of genetic algorithms is proposed as a means of designing gain-scheduled PID control schemes for a class of nonlinear plants where the nonlinearity is a function of the plant output. It is shown that the use of genetic algorithms for this purpose results in highly effective gain-schedu...
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| creator | Ajlouni, N. Jones, A.H. Kenway, S.B. |
| description | The technique of genetic algorithms is proposed as a means of designing gain-scheduled PID control schemes for a class of nonlinear plants where the nonlinearity is a function of the plant output. It is shown that the use of genetic algorithms for this purpose results in highly effective gain-scheduled controller for a highly nonlinear discrete-time single-input single-output model of a concentration control system. The results also indicate that genetic algorithms can be used to design controllers for nonlinear plants where hitherto no design techniques existed. |
| doi_str_mv | 10.1109/ISIC.1996.556229 |
| format | Conference Proceeding |
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It is shown that the use of genetic algorithms for this purpose results in highly effective gain-scheduled controller for a highly nonlinear discrete-time single-input single-output model of a concentration control system. The results also indicate that genetic algorithms can be used to design controllers for nonlinear plants where hitherto no design techniques existed.</description><identifier>ISSN: 2158-9860</identifier><identifier>ISBN: 9780780329782</identifier><identifier>ISBN: 0780329783</identifier><identifier>EISSN: 2158-9879</identifier><identifier>DOI: 10.1109/ISIC.1996.556229</identifier><language>eng</language><publisher>IEEE</publisher><subject>Algorithm design and analysis ; Automatic control ; Control system synthesis ; Control systems ; Design engineering ; Genetic algorithms ; Interpolation ; Nonlinear control systems ; Polynomials ; Three-term control</subject><ispartof>Proceedings of the 1996 IEEE International Symposium on Intelligent Control, 1996, p.366-371</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/556229$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/556229$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ajlouni, N.</creatorcontrib><creatorcontrib>Jones, A.H.</creatorcontrib><creatorcontrib>Kenway, S.B.</creatorcontrib><title>Genetic design of a gain-scheduled controller for a nonlinear concentration control system</title><title>Proceedings of the 1996 IEEE International Symposium on Intelligent Control</title><addtitle>ISIC</addtitle><description>The technique of genetic algorithms is proposed as a means of designing gain-scheduled PID control schemes for a class of nonlinear plants where the nonlinearity is a function of the plant output. 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The results also indicate that genetic algorithms can be used to design controllers for nonlinear plants where hitherto no design techniques existed.</description><subject>Algorithm design and analysis</subject><subject>Automatic control</subject><subject>Control system synthesis</subject><subject>Control systems</subject><subject>Design engineering</subject><subject>Genetic algorithms</subject><subject>Interpolation</subject><subject>Nonlinear control systems</subject><subject>Polynomials</subject><subject>Three-term control</subject><issn>2158-9860</issn><issn>2158-9879</issn><isbn>9780780329782</isbn><isbn>0780329783</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9zjsLwjAUBeDgA3zu4pQ_0Jqk9pFZfHTWyaWE9rZGYiJJHPrvrfgYhQvnwHeGi9CCkpBSwlf5Md-ElPMkjOOEMd5DY0bjLOBZyvtoztOMdBexrrDBzxIyQhPnroQwQtdkjM570OBliStwstHY1FjgRkgduPIC1UNBhUujvTVKgcW1sZ1ro5XUIOyLSuhUeGn0d4hd6zzcZmhYC-Vg_skpWu62p80hkABQ3K28CdsW7--jv_gEvK1GSA</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Ajlouni, N.</creator><creator>Jones, A.H.</creator><creator>Kenway, S.B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>Genetic design of a gain-scheduled controller for a nonlinear concentration control system</title><author>Ajlouni, N. ; Jones, A.H. ; Kenway, S.B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_5562293</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Algorithm design and analysis</topic><topic>Automatic control</topic><topic>Control system synthesis</topic><topic>Control systems</topic><topic>Design engineering</topic><topic>Genetic algorithms</topic><topic>Interpolation</topic><topic>Nonlinear control systems</topic><topic>Polynomials</topic><topic>Three-term control</topic><toplevel>online_resources</toplevel><creatorcontrib>Ajlouni, N.</creatorcontrib><creatorcontrib>Jones, A.H.</creatorcontrib><creatorcontrib>Kenway, S.B.</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>Ajlouni, N.</au><au>Jones, A.H.</au><au>Kenway, S.B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Genetic design of a gain-scheduled controller for a nonlinear concentration control system</atitle><btitle>Proceedings of the 1996 IEEE International Symposium on Intelligent Control</btitle><stitle>ISIC</stitle><date>1996</date><risdate>1996</risdate><spage>366</spage><epage>371</epage><pages>366-371</pages><issn>2158-9860</issn><eissn>2158-9879</eissn><isbn>9780780329782</isbn><isbn>0780329783</isbn><abstract>The technique of genetic algorithms is proposed as a means of designing gain-scheduled PID control schemes for a class of nonlinear plants where the nonlinearity is a function of the plant output. It is shown that the use of genetic algorithms for this purpose results in highly effective gain-scheduled controller for a highly nonlinear discrete-time single-input single-output model of a concentration control system. The results also indicate that genetic algorithms can be used to design controllers for nonlinear plants where hitherto no design techniques existed.</abstract><pub>IEEE</pub><doi>10.1109/ISIC.1996.556229</doi></addata></record> |
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| identifier | ISSN: 2158-9860 |
| ispartof | Proceedings of the 1996 IEEE International Symposium on Intelligent Control, 1996, p.366-371 |
| issn | 2158-9860 2158-9879 |
| language | eng |
| recordid | cdi_ieee_primary_556229 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Automatic control Control system synthesis Control systems Design engineering Genetic algorithms Interpolation Nonlinear control systems Polynomials Three-term control |
| title | Genetic design of a gain-scheduled controller for a nonlinear concentration control system |
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