Stability analysis approach to a class of fuzzy controlled nonlinear time-varying systems
A stability analysis approach a class of fuzzy controlled single input-single output nonlinear time-varying systems is proposed in the paper. The stability analysis is done in the sense of Lyapunov resulting in sufficient uniform asymptotic stability conditions to be used in the design of Takagi-Sug...
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creator | Precup, R.-E. Tomescu, M.L. Preitl, S. Petriu, E.M. Kilyeni, S. Barbulescu, C. |
description | A stability analysis approach a class of fuzzy controlled single input-single output nonlinear time-varying systems is proposed in the paper. The stability analysis is done in the sense of Lyapunov resulting in sufficient uniform asymptotic stability conditions to be used in the design of Takagi-Sugeno fuzzy logic controllers (FLCs). Use is made of quadratic positive definite Lyapunov function candidates. An illustrative example validates the stability analysis approach by the designing of the FLC to control a nonlinear plant. |
doi_str_mv | 10.1109/EURCON.2009.5167750 |
format | Conference Proceeding |
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An illustrative example validates the stability analysis approach by the designing of the FLC to control a nonlinear plant.</description><subject>Asymptotic stability</subject><subject>Control systems</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Fuzzy logic controller</subject><subject>Fuzzy systems</subject><subject>Lorenz system</subject><subject>Lyapunov function candidate</subject><subject>Lyapunov method</subject><subject>Nonlinear control systems</subject><subject>nonlinear time-varying system</subject><subject>Stability analysis</subject><subject>Takagi-Sugeno model</subject><subject>Time varying systems</subject><isbn>1424438608</isbn><isbn>9781424438600</isbn><isbn>9781424438617</isbn><isbn>1424438616</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kNFKwzAYhSMy0M0-wW7yAp1JmqTJpYypg-FA3YVX42_7RyNpO5oodE_vxHluDgc-DodDyJyzBefM3q52z8vt00IwZheK67JU7IJktjRcCikLo3l5Sab_gZkJmf6yljHF7RXJYvxkJyllhC2vydtLgsoHn0YKHYQx-kjhcBh6qD9o6inQOkCMtHfUfR2PI637Lg19CNjQru-C7xAGmnyL-TcMo-_eaRxjwjbekImDEDE7-4zs7levy8d8s31YL-82ueelSjkCr7jTEp0SIEzFjUYmnWsaKRq0VjVaCECtNAjthK5rV1kleQWmqKWFYkbmf70eEfeHwbenHfvzNcUP8qFYFw</recordid><startdate>200905</startdate><enddate>200905</enddate><creator>Precup, R.-E.</creator><creator>Tomescu, M.L.</creator><creator>Preitl, S.</creator><creator>Petriu, E.M.</creator><creator>Kilyeni, S.</creator><creator>Barbulescu, C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200905</creationdate><title>Stability analysis approach to a class of fuzzy controlled nonlinear time-varying systems</title><author>Precup, R.-E. ; Tomescu, M.L. ; Preitl, S. ; Petriu, E.M. ; Kilyeni, S. ; Barbulescu, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-ea1b1f64ef52a28b186e04ffdd42de995d622ae656a26f26ccfb9541ba83c49a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Asymptotic stability</topic><topic>Control systems</topic><topic>Fuzzy control</topic><topic>Fuzzy logic</topic><topic>Fuzzy logic controller</topic><topic>Fuzzy systems</topic><topic>Lorenz system</topic><topic>Lyapunov function candidate</topic><topic>Lyapunov method</topic><topic>Nonlinear control systems</topic><topic>nonlinear time-varying system</topic><topic>Stability analysis</topic><topic>Takagi-Sugeno model</topic><topic>Time varying systems</topic><toplevel>online_resources</toplevel><creatorcontrib>Precup, R.-E.</creatorcontrib><creatorcontrib>Tomescu, M.L.</creatorcontrib><creatorcontrib>Preitl, S.</creatorcontrib><creatorcontrib>Petriu, E.M.</creatorcontrib><creatorcontrib>Kilyeni, S.</creatorcontrib><creatorcontrib>Barbulescu, C.</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>Precup, R.-E.</au><au>Tomescu, M.L.</au><au>Preitl, S.</au><au>Petriu, E.M.</au><au>Kilyeni, S.</au><au>Barbulescu, C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Stability analysis approach to a class of fuzzy controlled nonlinear time-varying systems</atitle><btitle>IEEE EUROCON 2009</btitle><stitle>EURCON</stitle><date>2009-05</date><risdate>2009</risdate><spage>958</spage><epage>963</epage><pages>958-963</pages><isbn>1424438608</isbn><isbn>9781424438600</isbn><eisbn>9781424438617</eisbn><eisbn>1424438616</eisbn><abstract>A stability analysis approach a class of fuzzy controlled single input-single output nonlinear time-varying systems is proposed in the paper. The stability analysis is done in the sense of Lyapunov resulting in sufficient uniform asymptotic stability conditions to be used in the design of Takagi-Sugeno fuzzy logic controllers (FLCs). Use is made of quadratic positive definite Lyapunov function candidates. An illustrative example validates the stability analysis approach by the designing of the FLC to control a nonlinear plant.</abstract><pub>IEEE</pub><doi>10.1109/EURCON.2009.5167750</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Asymptotic stability Control systems Fuzzy control Fuzzy logic Fuzzy logic controller Fuzzy systems Lorenz system Lyapunov function candidate Lyapunov method Nonlinear control systems nonlinear time-varying system Stability analysis Takagi-Sugeno model Time varying systems |
title | Stability analysis approach to a class of fuzzy controlled nonlinear time-varying systems |
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