Simplifying fuzzy rule base of multiple input multiple output systems by constructing multi-layer fuzzy controller

In conventional rule based fuzzy control systems, the rules have the form of "IF THEN ." The number of rules increases exponentially as the number of system variables, upon which the fuzzy rules are based, is increased. Some papers have showed that, by structuring the rules in a hierarchic...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Rohmanuddin, M., Houw-Liong The, Ahmad, A.S., Nazaruddin, Y.Y.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 3733 vol.5
container_issue
container_start_page 3728
container_title
container_volume 5
creator Rohmanuddin, M.
Houw-Liong The
Ahmad, A.S.
Nazaruddin, Y.Y.
description In conventional rule based fuzzy control systems, the rules have the form of "IF THEN ." The number of rules increases exponentially as the number of system variables, upon which the fuzzy rules are based, is increased. Some papers have showed that, by structuring the rules in a hierarchical way, the total numbers of rules was a linear function of the system variables. In this paper, it was shown that the number of rules could still be reduced to minimum numbers by employing the same fuzzy rule set at every level.
doi_str_mv 10.1109/ICSMC.2000.886590
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_886590</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>886590</ieee_id><sourcerecordid>886590</sourcerecordid><originalsourceid>FETCH-LOGICAL-i203t-a62c97d50c6341e5355acd2b51a947eaaab30486ec6f78c6e1938356446568e3</originalsourceid><addsrcrecordid>eNpFkMtqwzAQRUUf0DTNB7Qr_YDT0dPSspg2DaR0kSy6C7IiFxU5NpK8cL6-SRMoDAzn3uEsBqFHAnNCQD8vq_VHNacAMFdKCg1XaEJFWRZECnGNZrpUcBwmhWL8Bk0ISFpoSr_u0H1KPwAUOFETFNe-7YNvRr__xs1wOIw4DsHh2iSHuwa3Q8i-PwZ-3w_5H7shnziNKbs24XrEttunHAebT6a_uyKY0cWL9Vjn2IXg4gO6bUxIbnbZU7R5e91U78Xqc7GsXlaFp8ByYSS1utwJsJJx4gQTwtgdrQUxmpfOGFMz4Eo6K5tSWemIZooJybkUUjk2RU9nrXfObfvoWxPH7flZ7BcNMV9Y</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Simplifying fuzzy rule base of multiple input multiple output systems by constructing multi-layer fuzzy controller</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Rohmanuddin, M. ; Houw-Liong The ; Ahmad, A.S. ; Nazaruddin, Y.Y.</creator><creatorcontrib>Rohmanuddin, M. ; Houw-Liong The ; Ahmad, A.S. ; Nazaruddin, Y.Y.</creatorcontrib><description>In conventional rule based fuzzy control systems, the rules have the form of "IF THEN ." The number of rules increases exponentially as the number of system variables, upon which the fuzzy rules are based, is increased. Some papers have showed that, by structuring the rules in a hierarchical way, the total numbers of rules was a linear function of the system variables. In this paper, it was shown that the number of rules could still be reduced to minimum numbers by employing the same fuzzy rule set at every level.</description><identifier>ISSN: 1062-922X</identifier><identifier>ISBN: 9780780365834</identifier><identifier>ISBN: 0780365836</identifier><identifier>EISSN: 2577-1655</identifier><identifier>DOI: 10.1109/ICSMC.2000.886590</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computer errors ; Control systems ; Electric variables control ; Error correction ; Fuzzy control ; Fuzzy logic ; Fuzzy sets ; Fuzzy systems ; MIMO ; Physics</subject><ispartof>Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0, 2000, Vol.5, p.3728-3733 vol.5</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/886590$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,4048,4049,27923,54918</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/886590$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Rohmanuddin, M.</creatorcontrib><creatorcontrib>Houw-Liong The</creatorcontrib><creatorcontrib>Ahmad, A.S.</creatorcontrib><creatorcontrib>Nazaruddin, Y.Y.</creatorcontrib><title>Simplifying fuzzy rule base of multiple input multiple output systems by constructing multi-layer fuzzy controller</title><title>Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0</title><addtitle>ICSMC</addtitle><description>In conventional rule based fuzzy control systems, the rules have the form of "IF THEN ." The number of rules increases exponentially as the number of system variables, upon which the fuzzy rules are based, is increased. Some papers have showed that, by structuring the rules in a hierarchical way, the total numbers of rules was a linear function of the system variables. In this paper, it was shown that the number of rules could still be reduced to minimum numbers by employing the same fuzzy rule set at every level.</description><subject>Computer errors</subject><subject>Control systems</subject><subject>Electric variables control</subject><subject>Error correction</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Fuzzy sets</subject><subject>Fuzzy systems</subject><subject>MIMO</subject><subject>Physics</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>9780780365834</isbn><isbn>0780365836</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkMtqwzAQRUUf0DTNB7Qr_YDT0dPSspg2DaR0kSy6C7IiFxU5NpK8cL6-SRMoDAzn3uEsBqFHAnNCQD8vq_VHNacAMFdKCg1XaEJFWRZECnGNZrpUcBwmhWL8Bk0ISFpoSr_u0H1KPwAUOFETFNe-7YNvRr__xs1wOIw4DsHh2iSHuwa3Q8i-PwZ-3w_5H7shnziNKbs24XrEttunHAebT6a_uyKY0cWL9Vjn2IXg4gO6bUxIbnbZU7R5e91U78Xqc7GsXlaFp8ByYSS1utwJsJJx4gQTwtgdrQUxmpfOGFMz4Eo6K5tSWemIZooJybkUUjk2RU9nrXfObfvoWxPH7flZ7BcNMV9Y</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Rohmanuddin, M.</creator><creator>Houw-Liong The</creator><creator>Ahmad, A.S.</creator><creator>Nazaruddin, Y.Y.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2000</creationdate><title>Simplifying fuzzy rule base of multiple input multiple output systems by constructing multi-layer fuzzy controller</title><author>Rohmanuddin, M. ; Houw-Liong The ; Ahmad, A.S. ; Nazaruddin, Y.Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-a62c97d50c6341e5355acd2b51a947eaaab30486ec6f78c6e1938356446568e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Computer errors</topic><topic>Control systems</topic><topic>Electric variables control</topic><topic>Error correction</topic><topic>Fuzzy control</topic><topic>Fuzzy logic</topic><topic>Fuzzy sets</topic><topic>Fuzzy systems</topic><topic>MIMO</topic><topic>Physics</topic><toplevel>online_resources</toplevel><creatorcontrib>Rohmanuddin, M.</creatorcontrib><creatorcontrib>Houw-Liong The</creatorcontrib><creatorcontrib>Ahmad, A.S.</creatorcontrib><creatorcontrib>Nazaruddin, Y.Y.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rohmanuddin, M.</au><au>Houw-Liong The</au><au>Ahmad, A.S.</au><au>Nazaruddin, Y.Y.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Simplifying fuzzy rule base of multiple input multiple output systems by constructing multi-layer fuzzy controller</atitle><btitle>Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0</btitle><stitle>ICSMC</stitle><date>2000</date><risdate>2000</risdate><volume>5</volume><spage>3728</spage><epage>3733 vol.5</epage><pages>3728-3733 vol.5</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><isbn>9780780365834</isbn><isbn>0780365836</isbn><abstract>In conventional rule based fuzzy control systems, the rules have the form of "IF THEN ." The number of rules increases exponentially as the number of system variables, upon which the fuzzy rules are based, is increased. Some papers have showed that, by structuring the rules in a hierarchical way, the total numbers of rules was a linear function of the system variables. In this paper, it was shown that the number of rules could still be reduced to minimum numbers by employing the same fuzzy rule set at every level.</abstract><pub>IEEE</pub><doi>10.1109/ICSMC.2000.886590</doi></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1062-922X
ispartof Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0, 2000, Vol.5, p.3728-3733 vol.5
issn 1062-922X
2577-1655
language eng
recordid cdi_ieee_primary_886590
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Computer errors
Control systems
Electric variables control
Error correction
Fuzzy control
Fuzzy logic
Fuzzy sets
Fuzzy systems
MIMO
Physics
title Simplifying fuzzy rule base of multiple input multiple output systems by constructing multi-layer fuzzy controller
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T05%3A16%3A02IST&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=Simplifying%20fuzzy%20rule%20base%20of%20multiple%20input%20multiple%20output%20systems%20by%20constructing%20multi-layer%20fuzzy%20controller&rft.btitle=Smc%202000%20conference%20proceedings.%202000%20ieee%20international%20conference%20on%20systems,%20man%20and%20cybernetics.%20'cybernetics%20evolving%20to%20systems,%20humans,%20organizations,%20and%20their%20complex%20interactions'%20(cat.%20no.0&rft.au=Rohmanuddin,%20M.&rft.date=2000&rft.volume=5&rft.spage=3728&rft.epage=3733%20vol.5&rft.pages=3728-3733%20vol.5&rft.issn=1062-922X&rft.eissn=2577-1655&rft.isbn=9780780365834&rft.isbn_list=0780365836&rft_id=info:doi/10.1109/ICSMC.2000.886590&rft_dat=%3Cieee_6IE%3E886590%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=886590&rfr_iscdi=true