Loading…

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Tinkir, M, Ö̈nen, U, Kalyoncu, M, Botsali, F M
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 103
container_issue
container_start_page 99
container_title
container_volume 4
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
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5763862</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5763862</ieee_id><sourcerecordid>5763862</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-d7f3e5a7edddbd9b404c1fd2c03a6d9d18ccd27a8c53a8cbc06788c037e1d4dd3</originalsourceid><addsrcrecordid>eNotT81KxDAYjIigrn0BveQFWpOmzc9RqqsLC4LsfUnzfZFI2pS2C-4-vQU7hxmGGQaGkEfOCs6Zed41zddrUTLOi1pJoWV5RTKjNJe81JWuWHlN7lcjjLol2TT9sAVSasP1Hdk2qRtwDnNIPU2e-tPlcqYxfQdHXernMcWI40TtMMSAQJeWj_gb2oi0s30YTtHOaXwgN97GCbNVN-SwfTs0H_n-833XvOzzYNicg_ICa6sQAFowbcUqxz2UjgkrwQDXzkGprHa1WKh1TCqtl1QhhwpAbMjT_2xAxOMwhs6O5-P6XPwB3uBPCw</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Competition of fuzzy logic controllers applied on flexible manipulator</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Tinkir, M ; Ö̈nen, U ; Kalyoncu, M ; Botsali, F M</creator><creatorcontrib>Tinkir, M ; Ö̈nen, U ; Kalyoncu, M ; Botsali, F M</creatorcontrib><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.</description><identifier>ISBN: 1612848397</identifier><identifier>ISBN: 9781612848396</identifier><identifier>EISBN: 9781612848402</identifier><identifier>EISBN: 9781612848389</identifier><identifier>EISBN: 1612848400</identifier><identifier>EISBN: 1612848389</identifier><identifier>DOI: 10.1109/ICCRD.2011.5763862</identifier><language>eng</language><publisher>IEEE</publisher><subject>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</subject><ispartof>2011 3rd International Conference on Computer Research and Development, 2011, Vol.4, p.99-103</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/5763862$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5763862$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Tinkir, M</creatorcontrib><creatorcontrib>Ö̈nen, U</creatorcontrib><creatorcontrib>Kalyoncu, M</creatorcontrib><creatorcontrib>Botsali, F M</creatorcontrib><title>Competition of fuzzy logic controllers applied on flexible manipulator</title><title>2011 3rd International Conference on Computer Research and Development</title><addtitle>ICCRD</addtitle><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.</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>
fulltext fulltext_linktorsrc
identifier ISBN: 1612848397
ispartof 2011 3rd International Conference on Computer Research and Development, 2011, Vol.4, p.99-103
issn
language eng
recordid cdi_ieee_primary_5763862
source IEEE Electronic Library (IEL) Conference Proceedings
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T09%3A46%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Competition%20of%20fuzzy%20logic%20controllers%20applied%20on%20flexible%20manipulator&rft.btitle=2011%203rd%20International%20Conference%20on%20Computer%20Research%20and%20Development&rft.au=Tinkir,%20M&rft.date=2011-03&rft.volume=4&rft.spage=99&rft.epage=103&rft.pages=99-103&rft.isbn=1612848397&rft.isbn_list=9781612848396&rft_id=info:doi/10.1109/ICCRD.2011.5763862&rft.eisbn=9781612848402&rft.eisbn_list=9781612848389&rft.eisbn_list=1612848400&rft.eisbn_list=1612848389&rft_dat=%3Cieee_6IE%3E5763862%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i90t-d7f3e5a7edddbd9b404c1fd2c03a6d9d18ccd27a8c53a8cbc06788c037e1d4dd3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5763862&rfr_iscdi=true