State dependent riccati equation based model reference adaptive control design for nonlinear systems
A new model reference adaptive control (MRAC) algorithm is presented for a class of nonlinear systems. The proposed MRAC method uses a nonlinear reference model whose controller is designed by using the so-called State Dependent Riccati Equation (SDRE) techniques. The controller designed for the non...
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creator | Babaei, Naser Salamci, Metin U. |
description | A new model reference adaptive control (MRAC) algorithm is presented for a class of nonlinear systems. The proposed MRAC method uses a nonlinear reference model whose controller is designed by using the so-called State Dependent Riccati Equation (SDRE) techniques. The controller designed for the nonlinear reference model is then adapted for the (presumably unknown or uncertain) nonlinear plant dynamics, again by using the SDRE methodology. The proposed methodology is exemplified by using the simulation model of an inverted pendulum, showing the effectiveness of SDRE-based MRAC for nonlinear systems. |
doi_str_mv | 10.1109/ICAT.2013.6684058 |
format | Conference Proceeding |
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The proposed MRAC method uses a nonlinear reference model whose controller is designed by using the so-called State Dependent Riccati Equation (SDRE) techniques. The controller designed for the nonlinear reference model is then adapted for the (presumably unknown or uncertain) nonlinear plant dynamics, again by using the SDRE methodology. The proposed methodology is exemplified by using the simulation model of an inverted pendulum, showing the effectiveness of SDRE-based MRAC for nonlinear systems.</description><identifier>EISBN: 9781479904310</identifier><identifier>EISBN: 1479904317</identifier><identifier>DOI: 10.1109/ICAT.2013.6684058</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptation models ; Adaptive control ; Algorithm design and analysis ; Equations ; Mathematical model ; Model Reference Adaptive Control ; Nonlinear dynamical systems ; Nonlinear Systems ; Robust Control ; SDRE</subject><ispartof>2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT), 2013, p.1-8</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/6684058$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6684058$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Babaei, Naser</creatorcontrib><creatorcontrib>Salamci, Metin U.</creatorcontrib><title>State dependent riccati equation based model reference adaptive control design for nonlinear systems</title><title>2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)</title><addtitle>ICAT</addtitle><description>A new model reference adaptive control (MRAC) algorithm is presented for a class of nonlinear systems. The proposed MRAC method uses a nonlinear reference model whose controller is designed by using the so-called State Dependent Riccati Equation (SDRE) techniques. The controller designed for the nonlinear reference model is then adapted for the (presumably unknown or uncertain) nonlinear plant dynamics, again by using the SDRE methodology. The proposed methodology is exemplified by using the simulation model of an inverted pendulum, showing the effectiveness of SDRE-based MRAC for nonlinear systems.</description><subject>Adaptation models</subject><subject>Adaptive control</subject><subject>Algorithm design and analysis</subject><subject>Equations</subject><subject>Mathematical model</subject><subject>Model Reference Adaptive Control</subject><subject>Nonlinear dynamical systems</subject><subject>Nonlinear Systems</subject><subject>Robust Control</subject><subject>SDRE</subject><isbn>9781479904310</isbn><isbn>1479904317</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkMtKxDAUQONCUMZ-gLjJD7TePNqkSxl8wYALx_WQJjcSaZOaRGH-3gFndXaHwyHklkHHGIz3r9uHfceBiW4YtIReX5BmVJpJNY4gBYMr0pTyBQBMKc7YcE3cezUVqcMVo8NYaQ7Wmhoofv-ckCKdTEFHl-Rwphk9ZowWqXFmreEXqU2x5jSfDCV8RupTpjHFOUQ0mZZjqbiUG3LpzVywOXNDPp4e99uXdvf2fGretYGpvraTZ6ZXThvLBTilB22FlM5MfJi8QpjAIndaeiX7HrjVg3JSK2d7j8hGKzbk7t8bEPGw5rCYfDycX4g_PeNXGw</recordid><startdate>201310</startdate><enddate>201310</enddate><creator>Babaei, Naser</creator><creator>Salamci, Metin U.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201310</creationdate><title>State dependent riccati equation based model reference adaptive control design for nonlinear systems</title><author>Babaei, Naser ; Salamci, Metin U.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-bf1a57d8ac230d7868c344dab26bf7e0b0ce2d84f745502c867d487dc5fee19c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adaptation models</topic><topic>Adaptive control</topic><topic>Algorithm design and analysis</topic><topic>Equations</topic><topic>Mathematical model</topic><topic>Model Reference Adaptive Control</topic><topic>Nonlinear dynamical systems</topic><topic>Nonlinear Systems</topic><topic>Robust Control</topic><topic>SDRE</topic><toplevel>online_resources</toplevel><creatorcontrib>Babaei, Naser</creatorcontrib><creatorcontrib>Salamci, Metin U.</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/IET Electronic Library</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>Babaei, Naser</au><au>Salamci, Metin U.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>State dependent riccati equation based model reference adaptive control design for nonlinear systems</atitle><btitle>2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)</btitle><stitle>ICAT</stitle><date>2013-10</date><risdate>2013</risdate><spage>1</spage><epage>8</epage><pages>1-8</pages><eisbn>9781479904310</eisbn><eisbn>1479904317</eisbn><abstract>A new model reference adaptive control (MRAC) algorithm is presented for a class of nonlinear systems. The proposed MRAC method uses a nonlinear reference model whose controller is designed by using the so-called State Dependent Riccati Equation (SDRE) techniques. The controller designed for the nonlinear reference model is then adapted for the (presumably unknown or uncertain) nonlinear plant dynamics, again by using the SDRE methodology. The proposed methodology is exemplified by using the simulation model of an inverted pendulum, showing the effectiveness of SDRE-based MRAC for nonlinear systems.</abstract><pub>IEEE</pub><doi>10.1109/ICAT.2013.6684058</doi><tpages>8</tpages></addata></record> |
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subjects | Adaptation models Adaptive control Algorithm design and analysis Equations Mathematical model Model Reference Adaptive Control Nonlinear dynamical systems Nonlinear Systems Robust Control SDRE |
title | State dependent riccati equation based model reference adaptive control design for nonlinear systems |
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