Fuzzy Adaptive Decentralized Control for Nonstrict-Feedback Large-Scale Switched Fractional-Order Nonlinear Systems
This article investigates the adaptive fuzzy control algorithm for a class of large-scale switched fractional-order nonlinear nonstrict feedback systems. In this algorithm, we utilize fuzzy-logic systems (FLSs) to approximate the complicated unknown nonlinear functions. Based on the fractional Lyapu...
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| Veröffentlicht in: | IEEE transactions on cybernetics 2022-09, Vol.52 (9), p.8887-8896 |
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| container_title | IEEE transactions on cybernetics |
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| creator | Bi, Wenshan Wang, Tong Yu, Xinghu |
| description | This article investigates the adaptive fuzzy control algorithm for a class of large-scale switched fractional-order nonlinear nonstrict feedback systems. In this algorithm, we utilize fuzzy-logic systems (FLSs) to approximate the complicated unknown nonlinear functions. Based on the fractional Lyapunov stability rules, a virtual control law is presented. A fuzzy adaptive decentralized control method is developed under the technique of the Lyapunov function. Under the operation of the proposed algorithm, the stability of the proposed systems and the control performance can be guaranteed. Finally, simulation results are presented to illustrate the feasibility and effectiveness of the proposed method. |
| doi_str_mv | 10.1109/TCYB.2021.3061136 |
| format | Article |
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In this algorithm, we utilize fuzzy-logic systems (FLSs) to approximate the complicated unknown nonlinear functions. Based on the fractional Lyapunov stability rules, a virtual control law is presented. A fuzzy adaptive decentralized control method is developed under the technique of the Lyapunov function. Under the operation of the proposed algorithm, the stability of the proposed systems and the control performance can be guaranteed. Finally, simulation results are presented to illustrate the feasibility and effectiveness of the proposed method.</description><identifier>ISSN: 2168-2267</identifier><identifier>EISSN: 2168-2275</identifier><identifier>DOI: 10.1109/TCYB.2021.3061136</identifier><identifier>PMID: 33705342</identifier><identifier>CODEN: ITCEB8</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Adaptive algorithms ; Adaptive control ; Adaptive fuzzy control ; Adaptive systems ; Control methods ; Control theory ; Decentralized control ; Feedback ; fractional-order systems ; Fuzzy control ; Fuzzy logic ; Fuzzy systems ; Large-scale systems ; Liapunov functions ; Lyapunov methods ; Nonlinear systems ; switched systems ; Switches</subject><ispartof>IEEE transactions on cybernetics, 2022-09, Vol.52 (9), p.8887-8896</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-d3c065f725eb6924ab57516973c1b4526b7ca8d68e4d789bd0d771204dacaec33</citedby><cites>FETCH-LOGICAL-c349t-d3c065f725eb6924ab57516973c1b4526b7ca8d68e4d789bd0d771204dacaec33</cites><orcidid>0000-0001-8181-6199 ; 0000-0002-7252-1695 ; 0000-0001-5950-6047</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9376713$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9376713$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33705342$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bi, Wenshan</creatorcontrib><creatorcontrib>Wang, Tong</creatorcontrib><creatorcontrib>Yu, Xinghu</creatorcontrib><title>Fuzzy Adaptive Decentralized Control for Nonstrict-Feedback Large-Scale Switched Fractional-Order Nonlinear Systems</title><title>IEEE transactions on cybernetics</title><addtitle>TCYB</addtitle><addtitle>IEEE Trans Cybern</addtitle><description>This article investigates the adaptive fuzzy control algorithm for a class of large-scale switched fractional-order nonlinear nonstrict feedback systems. 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Finally, simulation results are presented to illustrate the feasibility and effectiveness of the proposed method.</description><subject>Adaptive algorithms</subject><subject>Adaptive control</subject><subject>Adaptive fuzzy control</subject><subject>Adaptive systems</subject><subject>Control methods</subject><subject>Control theory</subject><subject>Decentralized control</subject><subject>Feedback</subject><subject>fractional-order systems</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Fuzzy systems</subject><subject>Large-scale systems</subject><subject>Liapunov functions</subject><subject>Lyapunov methods</subject><subject>Nonlinear systems</subject><subject>switched systems</subject><subject>Switches</subject><issn>2168-2267</issn><issn>2168-2275</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkU1vGjEQhq0oVUBpfkAUKVopl16W-mPXXh8JDWklVA6QQ04rrz20Jsua2N5W8OtrCuVQXzyaed6RRg9CtwSPCMHy83Ly-jiimJIRw5wQxi_QkBJe5ZSK8vJcczFANyGscXpVasnqCg0YE7hkBR2iMO33-102Nmob7S_IvoCGLnrV2j2YbOJS7dps5Xz23XUheqtjPgUwjdJv2Uz5H5AvtGohW_y2Uf9MmalXOlrXqTafewN_g63tQPlssQsRNuEj-rBSbYCb03-NXqZPy8nXfDZ__jYZz3LNChlzwzTm5UrQEhouaaGaUpSES8E0aYqS8kZoVRleQWFEJRuDjRCE4sIorUAzdo0-HfduvXvvIcR6Y4OGtlUduD7UtMSEckwlTejDf-ja9T7dkCiBCywl4UWiyJHS3oXgYVVvvd0ov6sJrg9S6oOU-iClPklJmfvT5r7ZgDkn_ilIwN0RsABwHksmuCCM_QEjyJBu</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Bi, Wenshan</creator><creator>Wang, Tong</creator><creator>Yu, Xinghu</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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In this algorithm, we utilize fuzzy-logic systems (FLSs) to approximate the complicated unknown nonlinear functions. Based on the fractional Lyapunov stability rules, a virtual control law is presented. A fuzzy adaptive decentralized control method is developed under the technique of the Lyapunov function. Under the operation of the proposed algorithm, the stability of the proposed systems and the control performance can be guaranteed. Finally, simulation results are presented to illustrate the feasibility and effectiveness of the proposed method.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>33705342</pmid><doi>10.1109/TCYB.2021.3061136</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-8181-6199</orcidid><orcidid>https://orcid.org/0000-0002-7252-1695</orcidid><orcidid>https://orcid.org/0000-0001-5950-6047</orcidid></addata></record> |
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| subjects | Adaptive algorithms Adaptive control Adaptive fuzzy control Adaptive systems Control methods Control theory Decentralized control Feedback fractional-order systems Fuzzy control Fuzzy logic Fuzzy systems Large-scale systems Liapunov functions Lyapunov methods Nonlinear systems switched systems Switches |
| title | Fuzzy Adaptive Decentralized Control for Nonstrict-Feedback Large-Scale Switched Fractional-Order Nonlinear Systems |
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