Adaptive Fuzzy Output Feedback Control for Nonlinear Nonstrict-Feedback Time-Delay Systems with Full State Constraints
Abstract This paper investigates the adaptive fuzzy output feedback control problem for a class of nonstrict-feedback time-delay systems subject to full state constraints. An observer is designed to estimate the unavailable systems states. By incorporating the barrier Lyapunov function and introduci...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yi, Jiale [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Anmerkung: |
© Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of fuzzy systems - Taibei : Association, 2006, 20(2018), 6 vom: 21. März, Seite 1730-1744 |
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| Übergeordnetes Werk: |
volume:20 ; year:2018 ; number:6 ; day:21 ; month:03 ; pages:1730-1744 |
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| DOI / URN: |
10.1007/s40815-018-0475-6 |
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| Katalog-ID: |
SPR03785903X |
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| 520 | |a Abstract This paper investigates the adaptive fuzzy output feedback control problem for a class of nonstrict-feedback time-delay systems subject to full state constraints. An observer is designed to estimate the unavailable systems states. By incorporating the barrier Lyapunov function and introducing a variable separation approach, an adaptive fuzzy output feedback tracking controller is systematically designed to ensure that the full state constraints are not violated and all the signals of the closed-loop systems are uniformly ultimately bounded. At the same time, the tracking errors can fluctuate around the origin within a small neighborhood by appropriate choice of the design parameters. Finally, two simulation studies are worked out to show the effectiveness of the proposed approach. | ||
| 650 | 4 | |a Adaptive output feedback control |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Nonstrict-feedback structure |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Full state constraints |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Time delay |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Li, Junmin |4 aut | |
| 700 | 1 | |a Li, Jing |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t International journal of fuzzy systems |d Taibei : Association, 2006 |g 20(2018), 6 vom: 21. März, Seite 1730-1744 |w (DE-627)612134636 |w (DE-600)2523322-1 |x 2199-3211 |7 nnns |
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10.1007/s40815-018-0475-6 doi (DE-627)SPR03785903X (SPR)s40815-018-0475-6-e DE-627 ger DE-627 rakwb eng Yi, Jiale verfasserin aut Adaptive Fuzzy Output Feedback Control for Nonlinear Nonstrict-Feedback Time-Delay Systems with Full State Constraints 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract This paper investigates the adaptive fuzzy output feedback control problem for a class of nonstrict-feedback time-delay systems subject to full state constraints. An observer is designed to estimate the unavailable systems states. By incorporating the barrier Lyapunov function and introducing a variable separation approach, an adaptive fuzzy output feedback tracking controller is systematically designed to ensure that the full state constraints are not violated and all the signals of the closed-loop systems are uniformly ultimately bounded. At the same time, the tracking errors can fluctuate around the origin within a small neighborhood by appropriate choice of the design parameters. Finally, two simulation studies are worked out to show the effectiveness of the proposed approach. Adaptive output feedback control (dpeaa)DE-He213 Nonstrict-feedback structure (dpeaa)DE-He213 Full state constraints (dpeaa)DE-He213 Time delay (dpeaa)DE-He213 Li, Junmin aut Li, Jing aut Enthalten in International journal of fuzzy systems Taibei : Association, 2006 20(2018), 6 vom: 21. März, Seite 1730-1744 (DE-627)612134636 (DE-600)2523322-1 2199-3211 nnns volume:20 year:2018 number:6 day:21 month:03 pages:1730-1744 https://dx.doi.org/10.1007/s40815-018-0475-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 20 2018 6 21 03 1730-1744 |
| spelling |
10.1007/s40815-018-0475-6 doi (DE-627)SPR03785903X (SPR)s40815-018-0475-6-e DE-627 ger DE-627 rakwb eng Yi, Jiale verfasserin aut Adaptive Fuzzy Output Feedback Control for Nonlinear Nonstrict-Feedback Time-Delay Systems with Full State Constraints 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract This paper investigates the adaptive fuzzy output feedback control problem for a class of nonstrict-feedback time-delay systems subject to full state constraints. An observer is designed to estimate the unavailable systems states. By incorporating the barrier Lyapunov function and introducing a variable separation approach, an adaptive fuzzy output feedback tracking controller is systematically designed to ensure that the full state constraints are not violated and all the signals of the closed-loop systems are uniformly ultimately bounded. At the same time, the tracking errors can fluctuate around the origin within a small neighborhood by appropriate choice of the design parameters. Finally, two simulation studies are worked out to show the effectiveness of the proposed approach. Adaptive output feedback control (dpeaa)DE-He213 Nonstrict-feedback structure (dpeaa)DE-He213 Full state constraints (dpeaa)DE-He213 Time delay (dpeaa)DE-He213 Li, Junmin aut Li, Jing aut Enthalten in International journal of fuzzy systems Taibei : Association, 2006 20(2018), 6 vom: 21. März, Seite 1730-1744 (DE-627)612134636 (DE-600)2523322-1 2199-3211 nnns volume:20 year:2018 number:6 day:21 month:03 pages:1730-1744 https://dx.doi.org/10.1007/s40815-018-0475-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 20 2018 6 21 03 1730-1744 |
| allfields_unstemmed |
10.1007/s40815-018-0475-6 doi (DE-627)SPR03785903X (SPR)s40815-018-0475-6-e DE-627 ger DE-627 rakwb eng Yi, Jiale verfasserin aut Adaptive Fuzzy Output Feedback Control for Nonlinear Nonstrict-Feedback Time-Delay Systems with Full State Constraints 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract This paper investigates the adaptive fuzzy output feedback control problem for a class of nonstrict-feedback time-delay systems subject to full state constraints. An observer is designed to estimate the unavailable systems states. By incorporating the barrier Lyapunov function and introducing a variable separation approach, an adaptive fuzzy output feedback tracking controller is systematically designed to ensure that the full state constraints are not violated and all the signals of the closed-loop systems are uniformly ultimately bounded. At the same time, the tracking errors can fluctuate around the origin within a small neighborhood by appropriate choice of the design parameters. Finally, two simulation studies are worked out to show the effectiveness of the proposed approach. Adaptive output feedback control (dpeaa)DE-He213 Nonstrict-feedback structure (dpeaa)DE-He213 Full state constraints (dpeaa)DE-He213 Time delay (dpeaa)DE-He213 Li, Junmin aut Li, Jing aut Enthalten in International journal of fuzzy systems Taibei : Association, 2006 20(2018), 6 vom: 21. März, Seite 1730-1744 (DE-627)612134636 (DE-600)2523322-1 2199-3211 nnns volume:20 year:2018 number:6 day:21 month:03 pages:1730-1744 https://dx.doi.org/10.1007/s40815-018-0475-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 20 2018 6 21 03 1730-1744 |
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10.1007/s40815-018-0475-6 doi (DE-627)SPR03785903X (SPR)s40815-018-0475-6-e DE-627 ger DE-627 rakwb eng Yi, Jiale verfasserin aut Adaptive Fuzzy Output Feedback Control for Nonlinear Nonstrict-Feedback Time-Delay Systems with Full State Constraints 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract This paper investigates the adaptive fuzzy output feedback control problem for a class of nonstrict-feedback time-delay systems subject to full state constraints. An observer is designed to estimate the unavailable systems states. By incorporating the barrier Lyapunov function and introducing a variable separation approach, an adaptive fuzzy output feedback tracking controller is systematically designed to ensure that the full state constraints are not violated and all the signals of the closed-loop systems are uniformly ultimately bounded. At the same time, the tracking errors can fluctuate around the origin within a small neighborhood by appropriate choice of the design parameters. Finally, two simulation studies are worked out to show the effectiveness of the proposed approach. Adaptive output feedback control (dpeaa)DE-He213 Nonstrict-feedback structure (dpeaa)DE-He213 Full state constraints (dpeaa)DE-He213 Time delay (dpeaa)DE-He213 Li, Junmin aut Li, Jing aut Enthalten in International journal of fuzzy systems Taibei : Association, 2006 20(2018), 6 vom: 21. März, Seite 1730-1744 (DE-627)612134636 (DE-600)2523322-1 2199-3211 nnns volume:20 year:2018 number:6 day:21 month:03 pages:1730-1744 https://dx.doi.org/10.1007/s40815-018-0475-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 20 2018 6 21 03 1730-1744 |
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10.1007/s40815-018-0475-6 doi (DE-627)SPR03785903X (SPR)s40815-018-0475-6-e DE-627 ger DE-627 rakwb eng Yi, Jiale verfasserin aut Adaptive Fuzzy Output Feedback Control for Nonlinear Nonstrict-Feedback Time-Delay Systems with Full State Constraints 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract This paper investigates the adaptive fuzzy output feedback control problem for a class of nonstrict-feedback time-delay systems subject to full state constraints. An observer is designed to estimate the unavailable systems states. By incorporating the barrier Lyapunov function and introducing a variable separation approach, an adaptive fuzzy output feedback tracking controller is systematically designed to ensure that the full state constraints are not violated and all the signals of the closed-loop systems are uniformly ultimately bounded. At the same time, the tracking errors can fluctuate around the origin within a small neighborhood by appropriate choice of the design parameters. Finally, two simulation studies are worked out to show the effectiveness of the proposed approach. Adaptive output feedback control (dpeaa)DE-He213 Nonstrict-feedback structure (dpeaa)DE-He213 Full state constraints (dpeaa)DE-He213 Time delay (dpeaa)DE-He213 Li, Junmin aut Li, Jing aut Enthalten in International journal of fuzzy systems Taibei : Association, 2006 20(2018), 6 vom: 21. März, Seite 1730-1744 (DE-627)612134636 (DE-600)2523322-1 2199-3211 nnns volume:20 year:2018 number:6 day:21 month:03 pages:1730-1744 https://dx.doi.org/10.1007/s40815-018-0475-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 20 2018 6 21 03 1730-1744 |
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Yi, Jiale @@aut@@ Li, Junmin @@aut@@ Li, Jing @@aut@@ |
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Adaptive Fuzzy Output Feedback Control for Nonlinear Nonstrict-Feedback Time-Delay Systems with Full State Constraints Adaptive output feedback control (dpeaa)DE-He213 Nonstrict-feedback structure (dpeaa)DE-He213 Full state constraints (dpeaa)DE-He213 Time delay (dpeaa)DE-He213 |
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adaptive fuzzy output feedback control for nonlinear nonstrict-feedback time-delay systems with full state constraints |
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Adaptive Fuzzy Output Feedback Control for Nonlinear Nonstrict-Feedback Time-Delay Systems with Full State Constraints |
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Abstract This paper investigates the adaptive fuzzy output feedback control problem for a class of nonstrict-feedback time-delay systems subject to full state constraints. An observer is designed to estimate the unavailable systems states. By incorporating the barrier Lyapunov function and introducing a variable separation approach, an adaptive fuzzy output feedback tracking controller is systematically designed to ensure that the full state constraints are not violated and all the signals of the closed-loop systems are uniformly ultimately bounded. At the same time, the tracking errors can fluctuate around the origin within a small neighborhood by appropriate choice of the design parameters. Finally, two simulation studies are worked out to show the effectiveness of the proposed approach. © Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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Abstract This paper investigates the adaptive fuzzy output feedback control problem for a class of nonstrict-feedback time-delay systems subject to full state constraints. An observer is designed to estimate the unavailable systems states. By incorporating the barrier Lyapunov function and introducing a variable separation approach, an adaptive fuzzy output feedback tracking controller is systematically designed to ensure that the full state constraints are not violated and all the signals of the closed-loop systems are uniformly ultimately bounded. At the same time, the tracking errors can fluctuate around the origin within a small neighborhood by appropriate choice of the design parameters. Finally, two simulation studies are worked out to show the effectiveness of the proposed approach. © Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
| abstract_unstemmed |
Abstract This paper investigates the adaptive fuzzy output feedback control problem for a class of nonstrict-feedback time-delay systems subject to full state constraints. An observer is designed to estimate the unavailable systems states. By incorporating the barrier Lyapunov function and introducing a variable separation approach, an adaptive fuzzy output feedback tracking controller is systematically designed to ensure that the full state constraints are not violated and all the signals of the closed-loop systems are uniformly ultimately bounded. At the same time, the tracking errors can fluctuate around the origin within a small neighborhood by appropriate choice of the design parameters. Finally, two simulation studies are worked out to show the effectiveness of the proposed approach. © Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany, part of Springer Nature 2018 |
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An observer is designed to estimate the unavailable systems states. By incorporating the barrier Lyapunov function and introducing a variable separation approach, an adaptive fuzzy output feedback tracking controller is systematically designed to ensure that the full state constraints are not violated and all the signals of the closed-loop systems are uniformly ultimately bounded. At the same time, the tracking errors can fluctuate around the origin within a small neighborhood by appropriate choice of the design parameters. 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März, Seite 1730-1744</subfield><subfield code="w">(DE-627)612134636</subfield><subfield code="w">(DE-600)2523322-1</subfield><subfield code="x">2199-3211</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:20</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:6</subfield><subfield code="g">day:21</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:1730-1744</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s40815-018-0475-6</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield 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