Adaptive Fuzzy Tracking Control of Nonlinear Time-Delay Systems With Dead-Zone Output Mechanism Based on a Novel Smooth Model
This paper presents a novel fuzzy adaptive controller for controlling a class of dead-zone output nonlinear systems with time delays. A new approximate model is first designed to describe a special dead-zone phenomenon encountered by the output mechanism of nonlinear systems, and the proposed smooth...
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| Published in | IEEE transactions on fuzzy systems Vol. 23; no. 6; pp. 1998 - 2011 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.12.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | This paper presents a novel fuzzy adaptive controller for controlling a class of dead-zone output nonlinear systems with time delays. A new approximate model is first designed to describe a special dead-zone phenomenon encountered by the output mechanism of nonlinear systems, and the proposed smooth model can be conveniently fused with available adaptive fuzzy control techniques. In addition, the coupling effect that the dead-zone output and the time-delayed states coexist in a common coupling function makes the tracking control design more complicated. To further address this difficulty, a compensation method using mean-value theorem with Lyapunov-Krasovskii function is presented in this paper. By using the proposed output dead-zone model, and based on Lyapunov synthesis, a new optimized algorithm is developed to guarantee the prescribed convergence of tracking error and the boundedness of all the signals in the closed-loop systems. Simulations have been implemented to verify the performance of the proposed fuzzy adaptive controller. |
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| AbstractList | This paper presents a novel fuzzy adaptive controller for controlling a class of dead-zone output nonlinear systems with time delays. A new approximate model is first designed to describe a special dead-zone phenomenon encountered by the output mechanism of nonlinear systems, and the proposed smooth model can be conveniently fused with available adaptive fuzzy control techniques. In addition, the coupling effect that the dead-zone output and the time-delayed states coexist in a common coupling function makes the tracking control design more complicated. To further address this difficulty, a compensation method using mean-value theorem with Lyapunov-Krasovskii function is presented in this paper. By using the proposed output dead-zone model, and based on Lyapunov synthesis, a new optimized algorithm is developed to guarantee the prescribed convergence of tracking error and the boundedness of all the signals in the closed-loop systems. Simulations have been implemented to verify the performance of the proposed fuzzy adaptive controller. |
| Author | Chen, C. L. Philip Zhi Liu Guanyu Lai Yun Zhang |
| Author_xml | – sequence: 1 surname: Zhi Liu fullname: Zhi Liu email: lz@gdut.edu.cn organization: Fac. of Autom., Guangdong Univ. of Technol., Guangzhou, China – sequence: 2 surname: Guanyu Lai fullname: Guanyu Lai email: lgy124@foxmail.com organization: Fac. of Autom., Guangdong Univ. of Technol., Guangzhou, China – sequence: 3 surname: Yun Zhang fullname: Yun Zhang email: yz@gdut.edu.cn organization: Fac. of Autom., Guangdong Univ. of Technol., Guangzhou, China – sequence: 4 givenname: C. L. Philip surname: Chen fullname: Chen, C. L. Philip email: philip.chen@ieee.org organization: Fac. of Sci. & Technol., Univ. of Macau, Macau, China |
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| Cites_doi | 10.1049/iet-cta.2008.0322 10.1016/j.fss.2005.06.011 10.1109/TFUZZ.2012.2190048 10.1016/j.ins.2012.02.050 10.1109/TNN.2004.826130 10.1109/TFUZZ.2004.839663 10.1109/TNN.2010.2042611 10.1109/TFUZZ.2013.2250507 10.1016/j.automatica.2013.10.006 10.1016/j.neucom.2009.05.005 10.1109/TNN.2010.2047115 10.1002/(SICI)1099-1239(199712)7:12<1071::AID-RNC254>3.3.CO;2-J 10.1109/TNN.2005.863416 10.1109/TFUZZ.2012.2204065 10.1109/TNN.2009.2038999 10.1109/TFUZZ.2011.2171189 10.1016/j.fss.2008.12.016 10.1109/TIE.2013.2253072 10.1109/TFUZZ.2013.2280146 10.1016/j.automatica.2006.12.014 10.1016/j.automatica.2009.02.021 10.1109/TFUZZ.2013.2279543 10.1016/j.automatica.2011.01.025 10.1109/TSMCB.2008.2006368 10.1002/rnc.2816 10.1016/j.fss.2009.10.026 10.1109/TFUZZ.2010.2050326 10.1109/TFUZZ.2002.806317 10.1109/TSMCB.2011.2159111 10.1109/TCST.2010.2041233 10.1109/TNN.2009.2022159 10.1109/TSMCB.2008.918568 10.1109/3468.895898 10.1109/TNN.2008.2002331 10.1109/TFUZZ.2011.2158652 10.1080/00207179508921889 10.1109/TAC.2011.2122730 10.1109/TNN.2008.2010349 10.1109/9.895588 10.1016/j.isatra.2010.06.002 10.1016/j.automatica.2008.11.017 10.1049/iet-cta.2010.0711 10.1109/TNN.2005.844907 10.1109/TFUZZ.2009.2036906 10.1016/j.automatica.2005.02.009 10.1109/TIE.2012.2218560 10.1109/TAC.2005.854652 10.1109/TAC.2005.860260 10.1109/TIE.2011.2160140 10.1109/TNN.2002.804306 10.1016/S1468-1218(03)00013-0 10.1109/TFUZZ.2010.2050892 10.1109/TAC.2006.890473 10.1109/TIE.2014.2316263 10.1109/TNN.2004.826215 10.1109/TNN.2009.2016959 10.1109/TAC.2012.2190208 10.1109/9.273339 10.1016/j.jfranklin.2014.04.003 10.1109/TFUZZ.2010.2046329 10.1109/TFUZZ.2012.2213259 10.1109/TAC.2007.910715 10.1109/TAC.2004.825663 10.1109/TFUZZ.2013.2249585 10.1049/iet-cta.2013.0181 10.1002/rnc.1609 10.1109/TSMCB.2009.2016110 10.1016/j.neucom.2011.03.005 |
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| References | ref13 ref56 ref12 yoo (ref21) 2008; 19 ref15 ref58 ref14 ref53 ref52 ref11 ref54 ref10 ref17 ref16 tong (ref8) 2005; 156 ref19 ref18 daniel (ref55) 2005; 16 ref50 ref46 ref45 ref48 ref47 ref42 ref41 ref44 ref43 ren (ref37) 2010; 21 ref49 ref7 ref9 ref4 ref3 yoo (ref59) 2009; 20 ref6 ref5 ref40 ren (ref35) 2009; 39 tong (ref70) 2014; 44 ref34 ref36 ref31 ref30 ref33 ref32 ref2 ref1 ref39 ref38 tee (ref51) 2009; 45 ref68 ref24 ref67 ref23 ref26 ref69 ref25 ref64 ref20 ref63 yoo (ref57) 2009; 39 ref66 ref22 ref65 ref28 ref27 ref29 ref60 ref62 ref61 |
| References_xml | – ident: ref1 doi: 10.1049/iet-cta.2008.0322 – volume: 156 start-page: 285 year: 2005 ident: ref8 article-title: Fuzzy adaptive output feedback control for MIMO nonlinear systems publication-title: Fuzzy Sets Syst doi: 10.1016/j.fss.2005.06.011 – ident: ref15 doi: 10.1109/TFUZZ.2012.2190048 – ident: ref39 doi: 10.1016/j.ins.2012.02.050 – ident: ref3 doi: 10.1109/TNN.2004.826130 – ident: ref13 doi: 10.1109/TFUZZ.2004.839663 – ident: ref29 doi: 10.1109/TNN.2010.2042611 – ident: ref14 doi: 10.1109/TFUZZ.2013.2250507 – ident: ref66 doi: 10.1016/j.automatica.2013.10.006 – ident: ref61 doi: 10.1016/j.neucom.2009.05.005 – volume: 21 start-page: 1339 year: 2010 ident: ref37 article-title: Adaptive neural control for output feedback nonlinear systems using a barrier Lyapunov function publication-title: IEEE Trans Neural Netw doi: 10.1109/TNN.2010.2047115 – ident: ref27 doi: 10.1002/(SICI)1099-1239(199712)7:12<1071::AID-RNC254>3.3.CO;2-J – ident: ref24 doi: 10.1109/TNN.2005.863416 – volume: 44 start-page: 910 year: 2014 ident: ref70 article-title: Adaptive neural network output feedback control for stochastic nonlinear systems with unknown dead-zone and unmodeled dynamics publication-title: IEEE Trans Syst Man Cybern B Cybern – ident: ref44 doi: 10.1109/TFUZZ.2012.2204065 – ident: ref52 doi: 10.1109/TNN.2009.2038999 – ident: ref43 doi: 10.1109/TFUZZ.2011.2171189 – ident: ref12 doi: 10.1016/j.fss.2008.12.016 – ident: ref64 doi: 10.1109/TIE.2013.2253072 – ident: ref63 doi: 10.1109/TFUZZ.2013.2280146 – ident: ref17 doi: 10.1016/j.automatica.2006.12.014 – ident: ref18 doi: 10.1016/j.automatica.2009.02.021 – ident: ref7 doi: 10.1109/TFUZZ.2013.2279543 – ident: ref25 doi: 10.1016/j.automatica.2011.01.025 – volume: 39 start-page: 431 year: 2009 ident: ref35 article-title: Adaptive neural control for a class of uncertain nonlinear systems in pure-feedback form with hysteresis input publication-title: IEEE Trans Syst Man Cybern B Cybern doi: 10.1109/TSMCB.2008.2006368 – ident: ref22 doi: 10.1002/rnc.2816 – ident: ref11 doi: 10.1016/j.fss.2009.10.026 – ident: ref9 doi: 10.1109/TFUZZ.2010.2050326 – ident: ref30 doi: 10.1109/TFUZZ.2002.806317 – ident: ref50 doi: 10.1109/TSMCB.2011.2159111 – ident: ref36 doi: 10.1109/TCST.2010.2041233 – volume: 20 start-page: 1209 year: 2009 ident: ref59 article-title: Adaptive neural control for a class of strict-feedback nonlinear systems with state time delays publication-title: IEEE Trans Neural Netw doi: 10.1109/TNN.2009.2022159 – ident: ref49 doi: 10.1109/TSMCB.2008.918568 – ident: ref6 doi: 10.1109/3468.895898 – volume: 19 start-page: 1496 year: 2008 ident: ref21 article-title: Comments on adaptive neural control for a class of nonlinearly parametric time-delay systems publication-title: IEEE Trans Neural Netw doi: 10.1109/TNN.2008.2002331 – ident: ref16 doi: 10.1109/TFUZZ.2011.2158652 – ident: ref48 doi: 10.1080/00207179508921889 – ident: ref26 doi: 10.1109/TAC.2011.2122730 – ident: ref42 doi: 10.1109/TNN.2008.2010349 – ident: ref32 doi: 10.1109/9.895588 – ident: ref45 doi: 10.1016/j.isatra.2010.06.002 – volume: 45 start-page: 918 year: 2009 ident: ref51 article-title: Barrier Lyapunov functions for the control of output-constrained nonlinear systems publication-title: Automatica doi: 10.1016/j.automatica.2008.11.017 – ident: ref31 doi: 10.1049/iet-cta.2010.0711 – volume: 16 start-page: 625 year: 2005 ident: ref55 article-title: Adaptive neural control for a class of nonlinearly parametric time-delay systems publication-title: IEEE Trans Neural Netw doi: 10.1109/TNN.2005.844907 – ident: ref46 doi: 10.1109/TFUZZ.2009.2036906 – ident: ref28 doi: 10.1016/j.automatica.2005.02.009 – ident: ref68 doi: 10.1109/TIE.2012.2218560 – ident: ref23 doi: 10.1109/TAC.2005.854652 – ident: ref33 doi: 10.1109/TAC.2005.860260 – ident: ref54 doi: 10.1109/TIE.2011.2160140 – ident: ref5 doi: 10.1109/TNN.2002.804306 – ident: ref41 doi: 10.1016/S1468-1218(03)00013-0 – ident: ref20 doi: 10.1109/TFUZZ.2010.2050892 – ident: ref40 doi: 10.1109/TAC.2006.890473 – ident: ref10 doi: 10.1109/TIE.2014.2316263 – ident: ref4 doi: 10.1109/TNN.2004.826215 – ident: ref34 doi: 10.1109/TNN.2009.2016959 – ident: ref38 doi: 10.1109/TAC.2012.2190208 – ident: ref47 doi: 10.1109/9.273339 – ident: ref67 doi: 10.1016/j.jfranklin.2014.04.003 – ident: ref53 doi: 10.1109/TFUZZ.2010.2046329 – ident: ref19 doi: 10.1109/TFUZZ.2012.2213259 – ident: ref60 doi: 10.1109/TAC.2007.910715 – ident: ref62 doi: 10.1109/TAC.2004.825663 – ident: ref65 doi: 10.1109/TFUZZ.2013.2249585 – ident: ref69 doi: 10.1049/iet-cta.2013.0181 – ident: ref58 doi: 10.1109/TNN.2005.844907 – ident: ref2 doi: 10.1002/rnc.1609 – volume: 39 start-page: 1316 year: 2009 ident: ref57 article-title: Neural-network-based decentralized adaptive control for a class of large-scale nonlinear systems with unknown time-varying delays publication-title: IEEE Trans Syst Man Cybern B Cybern doi: 10.1109/TSMCB.2009.2016110 – ident: ref56 doi: 10.1016/j.neucom.2011.03.005 |
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| StartPage | 1998 |
| SubjectTerms | Adaptation models Adaptive fuzzy control Adaptive systems Approximation methods backstepping barrier Lyapunov function Control systems Couplings Delay effects Lyapunov-Krasovskii function Nonlinear systems nonsymmetric dead-zone output time delays |
| Title | Adaptive Fuzzy Tracking Control of Nonlinear Time-Delay Systems With Dead-Zone Output Mechanism Based on a Novel Smooth Model |
| URI | https://ieeexplore.ieee.org/document/7018933 https://www.proquest.com/docview/1738862527 |
| Volume | 23 |
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