Finite-Time Stabilization-Based Adaptive Fuzzy Control Design
This article is aimed at developing a finite-time adaptive fuzzy control strategy for a class of nonlinear strict-feedback systems. For the first time, a fast finite-time practical stability criteria is set up, which provides an effective approach to address the finite-time adaptive fuzzy control de...
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Published in | IEEE transactions on fuzzy systems Vol. 29; no. 8; pp. 2438 - 2443 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.08.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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Abstract | This article is aimed at developing a finite-time adaptive fuzzy control strategy for a class of nonlinear strict-feedback systems. For the first time, a fast finite-time practical stability criteria is set up, which provides an effective approach to address the finite-time adaptive fuzzy control design. Furthermore, a systematic finite-time adaptive fuzzy control design procedure is developed by embedding that practical stability criteria. The closed-loop stability analysis shows that the tracking error converges to a small region around the origin in finite time. Meanwhile, all the signals in the closed-loop system are bounded. At last, the presented results are tested by a numerical example. |
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AbstractList | This article is aimed at developing a finite-time adaptive fuzzy control strategy for a class of nonlinear strict-feedback systems. For the first time, a fast finite-time practical stability criteria is set up, which provides an effective approach to address the finite-time adaptive fuzzy control design. Furthermore, a systematic finite-time adaptive fuzzy control design procedure is developed by embedding that practical stability criteria. The closed-loop stability analysis shows that the tracking error converges to a small region around the origin in finite time. Meanwhile, all the signals in the closed-loop system are bounded. At last, the presented results are tested by a numerical example. |
Author | Lin, Chong Chen, Bing |
Author_xml | – sequence: 1 givenname: Bing orcidid: 0000-0002-0305-7411 surname: Chen fullname: Chen, Bing email: chenbing1958@126.com organization: Institute of Complexity Science, Qingdao University, Qingdao, China – sequence: 2 givenname: Chong orcidid: 0000-0002-7888-303X surname: Lin fullname: Lin, Chong email: linchong_2004@hotmail.com organization: Institute of Complexity Science, Qingdao University, Qingdao, China |
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Cites_doi | 10.1109/TFUZZ.2018.2868898 10.1109/TSMC.2018.2854927 10.1109/TAES.2017.2720298 10.1016/j.automatica.2015.10.049 10.1109/81.983876 10.1016/j.automatica.2005.07.001 10.1109/TAC.2018.2827993 10.1002/rnc.2997 10.1109/TCYB.2015.2405616 10.1109/91.227383 10.1109/ICCA.2014.6870928 10.1016/j.automatica.2018.03.033 10.1109/TNNLS.2019.2959016 10.1109/TAC.2013.2270870 10.1016/j.automatica.2014.10.093 10.1016/j.automatica.2017.09.007 10.1109/9.668834 10.1109/TCYB.2017.2738648 10.4028/www.scientific.net/AMM.596.552 10.1109/TFUZZ.2017.2717804 10.1109/ICIEA.2010.5516692 10.1016/j.automatica.2015.08.013 |
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SubjectTerms | Adaptive control Adaptive fuzzy control Adaptive systems backstepping Control stability Convergence Error analysis Feedback control finite-time stability Fuzzy control Nonlinear systems Numerical stability Stability analysis Stability criteria Tracking errors |
Title | Finite-Time Stabilization-Based Adaptive Fuzzy Control Design |
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