State estimation of fuzzy Sugeno systems with local nonlinear rules and unmeasurable premise variables
This paper considers the design of observers for a class of continuous and discrete-time nonlinear systems presented by Takagi-Sugeno (T-S) model with nonlinear subsystems and unmeasurable premise variables. As a result, the proposed T-S structure reduces the number of rules in the Sugeno model by u...
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| creator | Moodi, H. Farrokhi, M. |
| description | This paper considers the design of observers for a class of continuous and discrete-time nonlinear systems presented by Takagi-Sugeno (T-S) model with nonlinear subsystems and unmeasurable premise variables. As a result, the proposed T-S structure reduces the number of rules in the Sugeno model by using local nonlinear rules. Moreover, it can represent larger class of nonlinear systems as compared to the measurable premise variable case. The proposed observer guarantees exponential convergence of state estimation error by Lyapunov stability analysis and linear matrix inequality (LMI) formulation. Numerical examples illustrate effectiveness of the proposed method. |
| doi_str_mv | 10.1109/MMAR.2012.6347825 |
| format | Conference Proceeding |
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Numerical examples illustrate effectiveness of the proposed method.</description><subject>Convergence</subject><subject>Fuzzy systems</subject><subject>Nonlinear systems</subject><subject>Numerical models</subject><subject>Observers</subject><subject>Vectors</subject><isbn>1467321214</isbn><isbn>9781467321211</isbn><isbn>9781467321235</isbn><isbn>1467321249</isbn><isbn>1467321230</isbn><isbn>9781467321242</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kNtKAzEYhCMiqHUfQLzJC7Tmz2GTvSzFE7QItvclu_tHI7vZkmSV9umtWOdmmO9iYIaQW2AzAFbdr1bztxlnwGelkNpwdUaKShuQpRYcuFDn5Po_gLwkRUqf7CgDRim4Im6dbUaKKfveZj8EOjjqxsNhT9fjO4aBpn3K2Cf67fMH7YbGdjQMofMBbaRx7DBRG1o6hh5tGqOtO6S7iL1PSL9s9L8g3ZALZ7uExcknZPP4sFk8T5evTy-L-XLqK5anTrdWGWmYVS03KGWlXNMwQF27xtQODEPHSyahFlyUshUGWm0dVLoSvDFiQu7-aj0ibnfxuCnut6dnxA9NVlky</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Moodi, H.</creator><creator>Farrokhi, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201208</creationdate><title>State estimation of fuzzy Sugeno systems with local nonlinear rules and unmeasurable premise variables</title><author>Moodi, H. ; Farrokhi, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-f7da58480a5d28e4495fcc01e7bfc8bf180ef26041b32364d381d7af197932c83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Convergence</topic><topic>Fuzzy systems</topic><topic>Nonlinear systems</topic><topic>Numerical models</topic><topic>Observers</topic><topic>Vectors</topic><toplevel>online_resources</toplevel><creatorcontrib>Moodi, H.</creatorcontrib><creatorcontrib>Farrokhi, M.</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>Moodi, H.</au><au>Farrokhi, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>State estimation of fuzzy Sugeno systems with local nonlinear rules and unmeasurable premise variables</atitle><btitle>2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR)</btitle><stitle>MMAR</stitle><date>2012-08</date><risdate>2012</risdate><spage>558</spage><epage>563</epage><pages>558-563</pages><isbn>1467321214</isbn><isbn>9781467321211</isbn><eisbn>9781467321235</eisbn><eisbn>1467321249</eisbn><eisbn>1467321230</eisbn><eisbn>9781467321242</eisbn><abstract>This paper considers the design of observers for a class of continuous and discrete-time nonlinear systems presented by Takagi-Sugeno (T-S) model with nonlinear subsystems and unmeasurable premise variables. As a result, the proposed T-S structure reduces the number of rules in the Sugeno model by using local nonlinear rules. Moreover, it can represent larger class of nonlinear systems as compared to the measurable premise variable case. The proposed observer guarantees exponential convergence of state estimation error by Lyapunov stability analysis and linear matrix inequality (LMI) formulation. Numerical examples illustrate effectiveness of the proposed method.</abstract><pub>IEEE</pub><doi>10.1109/MMAR.2012.6347825</doi><tpages>6</tpages></addata></record> |
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| language | eng |
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| subjects | Convergence Fuzzy systems Nonlinear systems Numerical models Observers Vectors |
| title | State estimation of fuzzy Sugeno systems with local nonlinear rules and unmeasurable premise variables |
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