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Competition of fuzzy logic controllers applied on flexible manipulator
This paper presents the performances of different type fuzzy logic controllers which are adaptive neural-network based fuzzy logic (ANNFL) controller, hierarchical adaptive neural-network based fuzzy logic (HANNFL) controller and adaptive neural-network based interval type2 fuzzy logic (ANNIT2FL) co...
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creator | Tinkir, M Ö̈nen, U Kalyoncu, M Botsali, F M |
description | This paper presents the performances of different type fuzzy logic controllers which are adaptive neural-network based fuzzy logic (ANNFL) controller, hierarchical adaptive neural-network based fuzzy logic (HANNFL) controller and adaptive neural-network based interval type2 fuzzy logic (ANNIT2FL) controller. ANNFL, HANNFL and ANNIT2FL controllers are applied on flexible manipulator for both position and tip deflection control to learn which one satisfy us with it's performance according to desired goals. The performances of the proposed controllers are evaluated on the basis of the experimental results. |
doi_str_mv | 10.1109/ICCRD.2011.5763862 |
format | conference_proceeding |
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ANNFL, HANNFL and ANNIT2FL controllers are applied on flexible manipulator for both position and tip deflection control to learn which one satisfy us with it's performance according to desired goals. The performances of the proposed controllers are evaluated on the basis of the experimental results.</description><subject>Adaptive neural-network</subject><subject>Adaptive systems</subject><subject>Artificial neural networks</subject><subject>flexible manipulator</subject><subject>Fuzzy logic</subject><subject>fuzzy logic controller</subject><subject>hierarchical</subject><subject>interval type2</subject><subject>Manipulator dynamics</subject><subject>Mathematical model</subject><subject>position and tip deflection control</subject><isbn>1612848397</isbn><isbn>9781612848396</isbn><isbn>9781612848402</isbn><isbn>9781612848389</isbn><isbn>1612848400</isbn><isbn>1612848389</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotT81KxDAYjIigrn0BveQFWpOmzc9RqqsLC4LsfUnzfZFI2pS2C-4-vQU7hxmGGQaGkEfOCs6Zed41zddrUTLOi1pJoWV5RTKjNJe81JWuWHlN7lcjjLol2TT9sAVSasP1Hdk2qRtwDnNIPU2e-tPlcqYxfQdHXernMcWI40TtMMSAQJeWj_gb2oi0s30YTtHOaXwgN97GCbNVN-SwfTs0H_n-833XvOzzYNicg_ICa6sQAFowbcUqxz2UjgkrwQDXzkGprHa1WKh1TCqtl1QhhwpAbMjT_2xAxOMwhs6O5-P6XPwB3uBPCw</recordid><startdate>201103</startdate><enddate>201103</enddate><creator>Tinkir, M</creator><creator>Ö̈nen, U</creator><creator>Kalyoncu, M</creator><creator>Botsali, F M</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201103</creationdate><title>Competition of fuzzy logic controllers applied on flexible manipulator</title><author>Tinkir, M ; Ö̈nen, U ; Kalyoncu, M ; Botsali, F M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-d7f3e5a7edddbd9b404c1fd2c03a6d9d18ccd27a8c53a8cbc06788c037e1d4dd3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adaptive neural-network</topic><topic>Adaptive systems</topic><topic>Artificial neural networks</topic><topic>flexible manipulator</topic><topic>Fuzzy logic</topic><topic>fuzzy logic controller</topic><topic>hierarchical</topic><topic>interval type2</topic><topic>Manipulator dynamics</topic><topic>Mathematical model</topic><topic>position and tip deflection control</topic><toplevel>online_resources</toplevel><creatorcontrib>Tinkir, M</creatorcontrib><creatorcontrib>Ö̈nen, U</creatorcontrib><creatorcontrib>Kalyoncu, M</creatorcontrib><creatorcontrib>Botsali, F 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</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>Tinkir, M</au><au>Ö̈nen, U</au><au>Kalyoncu, M</au><au>Botsali, F M</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Competition of fuzzy logic controllers applied on flexible manipulator</atitle><btitle>2011 3rd International Conference on Computer Research and Development</btitle><stitle>ICCRD</stitle><date>2011-03</date><risdate>2011</risdate><volume>4</volume><spage>99</spage><epage>103</epage><pages>99-103</pages><isbn>1612848397</isbn><isbn>9781612848396</isbn><eisbn>9781612848402</eisbn><eisbn>9781612848389</eisbn><eisbn>1612848400</eisbn><eisbn>1612848389</eisbn><abstract>This paper presents the performances of different type fuzzy logic controllers which are adaptive neural-network based fuzzy logic (ANNFL) controller, hierarchical adaptive neural-network based fuzzy logic (HANNFL) controller and adaptive neural-network based interval type2 fuzzy logic (ANNIT2FL) controller. ANNFL, HANNFL and ANNIT2FL controllers are applied on flexible manipulator for both position and tip deflection control to learn which one satisfy us with it's performance according to desired goals. The performances of the proposed controllers are evaluated on the basis of the experimental results.</abstract><pub>IEEE</pub><doi>10.1109/ICCRD.2011.5763862</doi><tpages>5</tpages></addata></record> |
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subjects | Adaptive neural-network Adaptive systems Artificial neural networks flexible manipulator Fuzzy logic fuzzy logic controller hierarchical interval type2 Manipulator dynamics Mathematical model position and tip deflection control |
title | Competition of fuzzy logic controllers applied on flexible manipulator |
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