An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay
Abstract This paper addresses a robust H∞ filter design problem for nonlinear systems with time-varying delay through Takagi-Sugeno (T-S) fuzzy model approach. Firstly, by introducing free-weighting matrix method combined with a matrix decoupling approach and adopting an improved integral inequality...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhou, Tuo [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
Takagi-Sugeno (T-S) fuzzy model |
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| Anmerkung: |
© Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg 2015 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of automation and computing - Berlin : Springer, 2004, 12(2015), 6 vom: 06. Nov., Seite 671-678 |
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| Übergeordnetes Werk: |
volume:12 ; year:2015 ; number:6 ; day:06 ; month:11 ; pages:671-678 |
| Links: |
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| DOI / URN: |
10.1007/s11633-015-0930-x |
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| Katalog-ID: |
SPR021290164 |
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| 245 | 1 | 3 | |a An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay |
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| 520 | |a Abstract This paper addresses a robust H∞ filter design problem for nonlinear systems with time-varying delay through Takagi-Sugeno (T-S) fuzzy model approach. Firstly, by introducing free-weighting matrix method combined with a matrix decoupling approach and adopting an improved integral inequality method without ignoring any integral term, less conservative results are achieved. Next, based on the model, new delay-dependent sufficient conditions are derived, which are less conservative than the existing ones via solving the linear matrix inequalities (LMIs). Lastly, simulations show a significant improvement over the previous results. | ||
| 650 | 4 | |a Takagi-Sugeno (T-S) fuzzy model |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a filter |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a nonlinear systems |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a linear matrix inequality (LMI) |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a time-varying delays |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a He, Xi-Qin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t International journal of automation and computing |d Berlin : Springer, 2004 |g 12(2015), 6 vom: 06. Nov., Seite 671-678 |w (DE-627)521466962 |w (DE-600)2260473-X |x 1751-8520 |7 nnns |
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10.1007/s11633-015-0930-x doi (DE-627)SPR021290164 (SPR)s11633-015-0930-x-e DE-627 ger DE-627 rakwb eng Zhou, Tuo verfasserin aut An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg 2015 Abstract This paper addresses a robust H∞ filter design problem for nonlinear systems with time-varying delay through Takagi-Sugeno (T-S) fuzzy model approach. Firstly, by introducing free-weighting matrix method combined with a matrix decoupling approach and adopting an improved integral inequality method without ignoring any integral term, less conservative results are achieved. Next, based on the model, new delay-dependent sufficient conditions are derived, which are less conservative than the existing ones via solving the linear matrix inequalities (LMIs). Lastly, simulations show a significant improvement over the previous results. Takagi-Sugeno (T-S) fuzzy model (dpeaa)DE-He213 filter (dpeaa)DE-He213 nonlinear systems (dpeaa)DE-He213 linear matrix inequality (LMI) (dpeaa)DE-He213 time-varying delays (dpeaa)DE-He213 He, Xi-Qin aut Enthalten in International journal of automation and computing Berlin : Springer, 2004 12(2015), 6 vom: 06. Nov., Seite 671-678 (DE-627)521466962 (DE-600)2260473-X 1751-8520 nnns volume:12 year:2015 number:6 day:06 month:11 pages:671-678 https://dx.doi.org/10.1007/s11633-015-0930-x 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 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_374 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_2700 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 12 2015 6 06 11 671-678 |
| spelling |
10.1007/s11633-015-0930-x doi (DE-627)SPR021290164 (SPR)s11633-015-0930-x-e DE-627 ger DE-627 rakwb eng Zhou, Tuo verfasserin aut An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg 2015 Abstract This paper addresses a robust H∞ filter design problem for nonlinear systems with time-varying delay through Takagi-Sugeno (T-S) fuzzy model approach. Firstly, by introducing free-weighting matrix method combined with a matrix decoupling approach and adopting an improved integral inequality method without ignoring any integral term, less conservative results are achieved. Next, based on the model, new delay-dependent sufficient conditions are derived, which are less conservative than the existing ones via solving the linear matrix inequalities (LMIs). Lastly, simulations show a significant improvement over the previous results. Takagi-Sugeno (T-S) fuzzy model (dpeaa)DE-He213 filter (dpeaa)DE-He213 nonlinear systems (dpeaa)DE-He213 linear matrix inequality (LMI) (dpeaa)DE-He213 time-varying delays (dpeaa)DE-He213 He, Xi-Qin aut Enthalten in International journal of automation and computing Berlin : Springer, 2004 12(2015), 6 vom: 06. Nov., Seite 671-678 (DE-627)521466962 (DE-600)2260473-X 1751-8520 nnns volume:12 year:2015 number:6 day:06 month:11 pages:671-678 https://dx.doi.org/10.1007/s11633-015-0930-x 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 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_374 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_2700 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 12 2015 6 06 11 671-678 |
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10.1007/s11633-015-0930-x doi (DE-627)SPR021290164 (SPR)s11633-015-0930-x-e DE-627 ger DE-627 rakwb eng Zhou, Tuo verfasserin aut An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg 2015 Abstract This paper addresses a robust H∞ filter design problem for nonlinear systems with time-varying delay through Takagi-Sugeno (T-S) fuzzy model approach. Firstly, by introducing free-weighting matrix method combined with a matrix decoupling approach and adopting an improved integral inequality method without ignoring any integral term, less conservative results are achieved. Next, based on the model, new delay-dependent sufficient conditions are derived, which are less conservative than the existing ones via solving the linear matrix inequalities (LMIs). Lastly, simulations show a significant improvement over the previous results. Takagi-Sugeno (T-S) fuzzy model (dpeaa)DE-He213 filter (dpeaa)DE-He213 nonlinear systems (dpeaa)DE-He213 linear matrix inequality (LMI) (dpeaa)DE-He213 time-varying delays (dpeaa)DE-He213 He, Xi-Qin aut Enthalten in International journal of automation and computing Berlin : Springer, 2004 12(2015), 6 vom: 06. Nov., Seite 671-678 (DE-627)521466962 (DE-600)2260473-X 1751-8520 nnns volume:12 year:2015 number:6 day:06 month:11 pages:671-678 https://dx.doi.org/10.1007/s11633-015-0930-x 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 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_374 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_2700 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 12 2015 6 06 11 671-678 |
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10.1007/s11633-015-0930-x doi (DE-627)SPR021290164 (SPR)s11633-015-0930-x-e DE-627 ger DE-627 rakwb eng Zhou, Tuo verfasserin aut An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg 2015 Abstract This paper addresses a robust H∞ filter design problem for nonlinear systems with time-varying delay through Takagi-Sugeno (T-S) fuzzy model approach. Firstly, by introducing free-weighting matrix method combined with a matrix decoupling approach and adopting an improved integral inequality method without ignoring any integral term, less conservative results are achieved. Next, based on the model, new delay-dependent sufficient conditions are derived, which are less conservative than the existing ones via solving the linear matrix inequalities (LMIs). Lastly, simulations show a significant improvement over the previous results. Takagi-Sugeno (T-S) fuzzy model (dpeaa)DE-He213 filter (dpeaa)DE-He213 nonlinear systems (dpeaa)DE-He213 linear matrix inequality (LMI) (dpeaa)DE-He213 time-varying delays (dpeaa)DE-He213 He, Xi-Qin aut Enthalten in International journal of automation and computing Berlin : Springer, 2004 12(2015), 6 vom: 06. Nov., Seite 671-678 (DE-627)521466962 (DE-600)2260473-X 1751-8520 nnns volume:12 year:2015 number:6 day:06 month:11 pages:671-678 https://dx.doi.org/10.1007/s11633-015-0930-x 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 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_374 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_2700 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 12 2015 6 06 11 671-678 |
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10.1007/s11633-015-0930-x doi (DE-627)SPR021290164 (SPR)s11633-015-0930-x-e DE-627 ger DE-627 rakwb eng Zhou, Tuo verfasserin aut An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg 2015 Abstract This paper addresses a robust H∞ filter design problem for nonlinear systems with time-varying delay through Takagi-Sugeno (T-S) fuzzy model approach. Firstly, by introducing free-weighting matrix method combined with a matrix decoupling approach and adopting an improved integral inequality method without ignoring any integral term, less conservative results are achieved. Next, based on the model, new delay-dependent sufficient conditions are derived, which are less conservative than the existing ones via solving the linear matrix inequalities (LMIs). Lastly, simulations show a significant improvement over the previous results. Takagi-Sugeno (T-S) fuzzy model (dpeaa)DE-He213 filter (dpeaa)DE-He213 nonlinear systems (dpeaa)DE-He213 linear matrix inequality (LMI) (dpeaa)DE-He213 time-varying delays (dpeaa)DE-He213 He, Xi-Qin aut Enthalten in International journal of automation and computing Berlin : Springer, 2004 12(2015), 6 vom: 06. Nov., Seite 671-678 (DE-627)521466962 (DE-600)2260473-X 1751-8520 nnns volume:12 year:2015 number:6 day:06 month:11 pages:671-678 https://dx.doi.org/10.1007/s11633-015-0930-x 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 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_374 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_2700 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 12 2015 6 06 11 671-678 |
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Zhou, Tuo |
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Zhou, Tuo misc Takagi-Sugeno (T-S) fuzzy model misc filter misc nonlinear systems misc linear matrix inequality (LMI) misc time-varying delays An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay |
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An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay Takagi-Sugeno (T-S) fuzzy model (dpeaa)DE-He213 filter (dpeaa)DE-He213 nonlinear systems (dpeaa)DE-He213 linear matrix inequality (LMI) (dpeaa)DE-He213 time-varying delays (dpeaa)DE-He213 |
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misc Takagi-Sugeno (T-S) fuzzy model misc filter misc nonlinear systems misc linear matrix inequality (LMI) misc time-varying delays |
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An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay |
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An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay |
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improved h∞ filter design for nonlinear systems described by t-s fuzzy models with time-varying delay |
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An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay |
| abstract |
Abstract This paper addresses a robust H∞ filter design problem for nonlinear systems with time-varying delay through Takagi-Sugeno (T-S) fuzzy model approach. Firstly, by introducing free-weighting matrix method combined with a matrix decoupling approach and adopting an improved integral inequality method without ignoring any integral term, less conservative results are achieved. Next, based on the model, new delay-dependent sufficient conditions are derived, which are less conservative than the existing ones via solving the linear matrix inequalities (LMIs). Lastly, simulations show a significant improvement over the previous results. © Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg 2015 |
| abstractGer |
Abstract This paper addresses a robust H∞ filter design problem for nonlinear systems with time-varying delay through Takagi-Sugeno (T-S) fuzzy model approach. Firstly, by introducing free-weighting matrix method combined with a matrix decoupling approach and adopting an improved integral inequality method without ignoring any integral term, less conservative results are achieved. Next, based on the model, new delay-dependent sufficient conditions are derived, which are less conservative than the existing ones via solving the linear matrix inequalities (LMIs). Lastly, simulations show a significant improvement over the previous results. © Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg 2015 |
| abstract_unstemmed |
Abstract This paper addresses a robust H∞ filter design problem for nonlinear systems with time-varying delay through Takagi-Sugeno (T-S) fuzzy model approach. Firstly, by introducing free-weighting matrix method combined with a matrix decoupling approach and adopting an improved integral inequality method without ignoring any integral term, less conservative results are achieved. Next, based on the model, new delay-dependent sufficient conditions are derived, which are less conservative than the existing ones via solving the linear matrix inequalities (LMIs). Lastly, simulations show a significant improvement over the previous results. © Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg 2015 |
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An improved H∞ filter design for nonlinear systems described by T-S fuzzy models with time-varying delay |
| url |
https://dx.doi.org/10.1007/s11633-015-0930-x |
| remote_bool |
true |
| author2 |
He, Xi-Qin |
| author2Str |
He, Xi-Qin |
| ppnlink |
521466962 |
| mediatype_str_mv |
c |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s11633-015-0930-x |
| up_date |
2024-07-03T21:37:38.517Z |
| _version_ |
1803595450703413248 |
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