Switching fuzzy modelling and control scheme using T-S fuzzy systems with nonlinear consequent parts
This paper extends the idea of switching T-S fuzzy systems with linear consequent parts to nonlinear ones. Each nonlinear subsystem is exactly represented by a T-S fuzzy system with Lure’ type consequent parts, which allows to model and control wider classes of switching systems and also reduce the...
Gespeichert in:
Veröffentlicht in: | Iranian journal of fuzzy systems (Online) 2020-03, Vol.17 (2), p.49 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 2 |
container_start_page | 49 |
container_title | Iranian journal of fuzzy systems (Online) |
container_volume | 17 |
creator | Koopaee, M J Majd, V J |
description | This paper extends the idea of switching T-S fuzzy systems with linear consequent parts to nonlinear ones. Each nonlinear subsystem is exactly represented by a T-S fuzzy system with Lure’ type consequent parts, which allows to model and control wider classes of switching systems and also reduce the computation burden of control synthesis. With the use of a switching fuzzy Lyapunov function, the LMI conditions for asymptotic stability of the system with maximum decay-rate and disturbance attenuation properties under arbitrary switching law are derived. Moreover, several numerical examples are provided to demonstrate the effectiveness of the proposed approaches to reduce the computational burden of control synthesis and improving the closed-loop performance of the system. |
doi_str_mv | 10.22111/ijfs.2020.5219 |
format | Article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2671741158</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2671741158</sourcerecordid><originalsourceid>FETCH-LOGICAL-p183t-80d0c00493a51cb8f47b829135ac77b60dcb298892bf6b839ee3ed13235e0e963</originalsourceid><addsrcrecordid>eNotkD1rwzAQhkVpoSHN3FXQ2a5OsmRpLKFfEOiQdA6WfK4dbDm1ZEry62uTTMfd-_HAEfIILOUcAJ6bQxVSzjhLJQdzQxZc5SrJhMhuyQJyIROmZHZPViE0lk0HLUGqBSm3f010deN_aDWezyfa9SW27bwXvqSu93HoWxpcjR3SMczCLtlezeEUInaBTh019b2fclgMcyrg74g-0mMxxPBA7qqiDbi6ziX5fnvdrT-Szdf75_plkxxBi5hoVjLHWGZEIcFZXWW51dyAkIXLc6tY6Sw3WhtuK2W1MIgCSxBcSGRolFiSp0vvcegnfIj7Qz8OfkLup3dAngFILf4BbflagQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2671741158</pqid></control><display><type>article</type><title>Switching fuzzy modelling and control scheme using T-S fuzzy systems with nonlinear consequent parts</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Koopaee, M J ; Majd, V J</creator><creatorcontrib>Koopaee, M J ; Majd, V J</creatorcontrib><description>This paper extends the idea of switching T-S fuzzy systems with linear consequent parts to nonlinear ones. Each nonlinear subsystem is exactly represented by a T-S fuzzy system with Lure’ type consequent parts, which allows to model and control wider classes of switching systems and also reduce the computation burden of control synthesis. With the use of a switching fuzzy Lyapunov function, the LMI conditions for asymptotic stability of the system with maximum decay-rate and disturbance attenuation properties under arbitrary switching law are derived. Moreover, several numerical examples are provided to demonstrate the effectiveness of the proposed approaches to reduce the computational burden of control synthesis and improving the closed-loop performance of the system.</description><identifier>ISSN: 1735-0654</identifier><identifier>EISSN: 2676-4334</identifier><identifier>DOI: 10.22111/ijfs.2020.5219</identifier><language>eng</language><publisher>Zahedan: University of Sistan and Baluchestan, Iranian Journal of Fuzzy Systems</publisher><subject>Controllers ; Design ; Investigations</subject><ispartof>Iranian journal of fuzzy systems (Online), 2020-03, Vol.17 (2), p.49</ispartof><rights>2020. This work is published under https://creativecommons.org/licenses/by-nc/2.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Koopaee, M J</creatorcontrib><creatorcontrib>Majd, V J</creatorcontrib><title>Switching fuzzy modelling and control scheme using T-S fuzzy systems with nonlinear consequent parts</title><title>Iranian journal of fuzzy systems (Online)</title><description>This paper extends the idea of switching T-S fuzzy systems with linear consequent parts to nonlinear ones. Each nonlinear subsystem is exactly represented by a T-S fuzzy system with Lure’ type consequent parts, which allows to model and control wider classes of switching systems and also reduce the computation burden of control synthesis. With the use of a switching fuzzy Lyapunov function, the LMI conditions for asymptotic stability of the system with maximum decay-rate and disturbance attenuation properties under arbitrary switching law are derived. Moreover, several numerical examples are provided to demonstrate the effectiveness of the proposed approaches to reduce the computational burden of control synthesis and improving the closed-loop performance of the system.</description><subject>Controllers</subject><subject>Design</subject><subject>Investigations</subject><issn>1735-0654</issn><issn>2676-4334</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNotkD1rwzAQhkVpoSHN3FXQ2a5OsmRpLKFfEOiQdA6WfK4dbDm1ZEry62uTTMfd-_HAEfIILOUcAJ6bQxVSzjhLJQdzQxZc5SrJhMhuyQJyIROmZHZPViE0lk0HLUGqBSm3f010deN_aDWezyfa9SW27bwXvqSu93HoWxpcjR3SMczCLtlezeEUInaBTh019b2fclgMcyrg74g-0mMxxPBA7qqiDbi6ziX5fnvdrT-Szdf75_plkxxBi5hoVjLHWGZEIcFZXWW51dyAkIXLc6tY6Sw3WhtuK2W1MIgCSxBcSGRolFiSp0vvcegnfIj7Qz8OfkLup3dAngFILf4BbflagQ</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Koopaee, M J</creator><creator>Majd, V J</creator><general>University of Sistan and Baluchestan, Iranian Journal of Fuzzy Systems</general><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20200301</creationdate><title>Switching fuzzy modelling and control scheme using T-S fuzzy systems with nonlinear consequent parts</title><author>Koopaee, M J ; Majd, V J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p183t-80d0c00493a51cb8f47b829135ac77b60dcb298892bf6b839ee3ed13235e0e963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Controllers</topic><topic>Design</topic><topic>Investigations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koopaee, M J</creatorcontrib><creatorcontrib>Majd, V J</creatorcontrib><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Iranian journal of fuzzy systems (Online)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koopaee, M J</au><au>Majd, V J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Switching fuzzy modelling and control scheme using T-S fuzzy systems with nonlinear consequent parts</atitle><jtitle>Iranian journal of fuzzy systems (Online)</jtitle><date>2020-03-01</date><risdate>2020</risdate><volume>17</volume><issue>2</issue><spage>49</spage><pages>49-</pages><issn>1735-0654</issn><eissn>2676-4334</eissn><abstract>This paper extends the idea of switching T-S fuzzy systems with linear consequent parts to nonlinear ones. Each nonlinear subsystem is exactly represented by a T-S fuzzy system with Lure’ type consequent parts, which allows to model and control wider classes of switching systems and also reduce the computation burden of control synthesis. With the use of a switching fuzzy Lyapunov function, the LMI conditions for asymptotic stability of the system with maximum decay-rate and disturbance attenuation properties under arbitrary switching law are derived. Moreover, several numerical examples are provided to demonstrate the effectiveness of the proposed approaches to reduce the computational burden of control synthesis and improving the closed-loop performance of the system.</abstract><cop>Zahedan</cop><pub>University of Sistan and Baluchestan, Iranian Journal of Fuzzy Systems</pub><doi>10.22111/ijfs.2020.5219</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1735-0654 |
ispartof | Iranian journal of fuzzy systems (Online), 2020-03, Vol.17 (2), p.49 |
issn | 1735-0654 2676-4334 |
language | eng |
recordid | cdi_proquest_journals_2671741158 |
source | EZB-FREE-00999 freely available EZB journals |
subjects | Controllers Design Investigations |
title | Switching fuzzy modelling and control scheme using T-S fuzzy systems with nonlinear consequent parts |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T03%3A59%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Switching%20fuzzy%20modelling%20and%20control%20scheme%20using%20T-S%20fuzzy%20systems%20with%20nonlinear%20consequent%20parts&rft.jtitle=Iranian%20journal%20of%20fuzzy%20systems%20(Online)&rft.au=Koopaee,%20M%20J&rft.date=2020-03-01&rft.volume=17&rft.issue=2&rft.spage=49&rft.pages=49-&rft.issn=1735-0654&rft.eissn=2676-4334&rft_id=info:doi/10.22111/ijfs.2020.5219&rft_dat=%3Cproquest%3E2671741158%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2671741158&rft_id=info:pmid/&rfr_iscdi=true |