Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation

Abstract This paper investigates the synchronization of network systems with time-varying delay, nonlinear dynamics and actuators saturation through the use of sampled-data controllers. Using tools from free-weighting matrix approach and Lyapunov stability theory, sufficient conditions for the synch...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Li, Yanzhou [verfasserIn] Wu, Yuanqing He, Shenghuang

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Network systems Synchronization Sampled-data control Actuators saturation

Anmerkung:	© Springer Science+Business Media, LLC, part of Springer Nature 2018

Übergeordnetes Werk:	Enthalten in: Circuits, systems and signal processing - Boston, Mass. : Birkhäuser, 1982, 38(2018), 4 vom: 20. Sept., Seite 1596-1618
Übergeordnetes Werk:	volume:38 ; year:2018 ; number:4 ; day:20 ; month:09 ; pages:1596-1618

Links:	Volltext

DOI / URN:	10.1007/s00034-018-0940-3

Katalog-ID:	SPR000596531

Internformat


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520			\|a Abstract This paper investigates the synchronization of network systems with time-varying delay, nonlinear dynamics and actuators saturation through the use of sampled-data controllers. Using tools from free-weighting matrix approach and Lyapunov stability theory, sufficient conditions for the synchronization of network systems are derived. It is theoretically shown that the synchronization of network systems can be achieved if the controller gain is selected suitably. Furthermore, the upper bound of sampling intervals for achieving synchronization is estimated via a simple algorithm. The effectiveness of the obtained results is verified through two numerical examples.
650		4	\|a Network systems \|7 (dpeaa)DE-He213
650		4	\|a Synchronization \|7 (dpeaa)DE-He213
650		4	\|a Sampled-data control \|7 (dpeaa)DE-He213
650		4	\|a Actuators saturation \|7 (dpeaa)DE-He213
700	1		\|a Wu, Yuanqing \|4 aut
700	1		\|a He, Shenghuang \|4 aut
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912			\|a GBV_ILN_138
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912			\|a GBV_ILN_250
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912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
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912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
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912			\|a GBV_ILN_2015
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912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2037
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2039
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
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912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2070
912			\|a GBV_ILN_2086
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2093
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2108
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912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
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912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2119
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
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912			\|a GBV_ILN_2144
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2188
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2446
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2472
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_2548
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
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Indexfelder

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publishDate	2018
allfields	10.1007/s00034-018-0940-3 doi (DE-627)SPR000596531 (SPR)s00034-018-0940-3-e DE-627 ger DE-627 rakwb eng Li, Yanzhou verfasserin aut Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract This paper investigates the synchronization of network systems with time-varying delay, nonlinear dynamics and actuators saturation through the use of sampled-data controllers. Using tools from free-weighting matrix approach and Lyapunov stability theory, sufficient conditions for the synchronization of network systems are derived. It is theoretically shown that the synchronization of network systems can be achieved if the controller gain is selected suitably. Furthermore, the upper bound of sampling intervals for achieving synchronization is estimated via a simple algorithm. The effectiveness of the obtained results is verified through two numerical examples. Network systems (dpeaa)DE-He213 Synchronization (dpeaa)DE-He213 Sampled-data control (dpeaa)DE-He213 Actuators saturation (dpeaa)DE-He213 Wu, Yuanqing aut He, Shenghuang aut Enthalten in Circuits, systems and signal processing Boston, Mass. : Birkhäuser, 1982 38(2018), 4 vom: 20. Sept., Seite 1596-1618 (DE-627)351975470 (DE-600)2085136-4 1531-5878 nnns volume:38 year:2018 number:4 day:20 month:09 pages:1596-1618 https://dx.doi.org/10.1007/s00034-018-0940-3 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_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_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_267 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_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 38 2018 4 20 09 1596-1618
spelling	10.1007/s00034-018-0940-3 doi (DE-627)SPR000596531 (SPR)s00034-018-0940-3-e DE-627 ger DE-627 rakwb eng Li, Yanzhou verfasserin aut Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract This paper investigates the synchronization of network systems with time-varying delay, nonlinear dynamics and actuators saturation through the use of sampled-data controllers. Using tools from free-weighting matrix approach and Lyapunov stability theory, sufficient conditions for the synchronization of network systems are derived. It is theoretically shown that the synchronization of network systems can be achieved if the controller gain is selected suitably. Furthermore, the upper bound of sampling intervals for achieving synchronization is estimated via a simple algorithm. The effectiveness of the obtained results is verified through two numerical examples. Network systems (dpeaa)DE-He213 Synchronization (dpeaa)DE-He213 Sampled-data control (dpeaa)DE-He213 Actuators saturation (dpeaa)DE-He213 Wu, Yuanqing aut He, Shenghuang aut Enthalten in Circuits, systems and signal processing Boston, Mass. : Birkhäuser, 1982 38(2018), 4 vom: 20. Sept., Seite 1596-1618 (DE-627)351975470 (DE-600)2085136-4 1531-5878 nnns volume:38 year:2018 number:4 day:20 month:09 pages:1596-1618 https://dx.doi.org/10.1007/s00034-018-0940-3 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_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_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_267 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_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 38 2018 4 20 09 1596-1618
allfields_unstemmed	10.1007/s00034-018-0940-3 doi (DE-627)SPR000596531 (SPR)s00034-018-0940-3-e DE-627 ger DE-627 rakwb eng Li, Yanzhou verfasserin aut Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract This paper investigates the synchronization of network systems with time-varying delay, nonlinear dynamics and actuators saturation through the use of sampled-data controllers. Using tools from free-weighting matrix approach and Lyapunov stability theory, sufficient conditions for the synchronization of network systems are derived. It is theoretically shown that the synchronization of network systems can be achieved if the controller gain is selected suitably. Furthermore, the upper bound of sampling intervals for achieving synchronization is estimated via a simple algorithm. The effectiveness of the obtained results is verified through two numerical examples. Network systems (dpeaa)DE-He213 Synchronization (dpeaa)DE-He213 Sampled-data control (dpeaa)DE-He213 Actuators saturation (dpeaa)DE-He213 Wu, Yuanqing aut He, Shenghuang aut Enthalten in Circuits, systems and signal processing Boston, Mass. : Birkhäuser, 1982 38(2018), 4 vom: 20. Sept., Seite 1596-1618 (DE-627)351975470 (DE-600)2085136-4 1531-5878 nnns volume:38 year:2018 number:4 day:20 month:09 pages:1596-1618 https://dx.doi.org/10.1007/s00034-018-0940-3 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_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_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_267 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_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 38 2018 4 20 09 1596-1618
allfieldsGer	10.1007/s00034-018-0940-3 doi (DE-627)SPR000596531 (SPR)s00034-018-0940-3-e DE-627 ger DE-627 rakwb eng Li, Yanzhou verfasserin aut Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract This paper investigates the synchronization of network systems with time-varying delay, nonlinear dynamics and actuators saturation through the use of sampled-data controllers. Using tools from free-weighting matrix approach and Lyapunov stability theory, sufficient conditions for the synchronization of network systems are derived. It is theoretically shown that the synchronization of network systems can be achieved if the controller gain is selected suitably. Furthermore, the upper bound of sampling intervals for achieving synchronization is estimated via a simple algorithm. The effectiveness of the obtained results is verified through two numerical examples. Network systems (dpeaa)DE-He213 Synchronization (dpeaa)DE-He213 Sampled-data control (dpeaa)DE-He213 Actuators saturation (dpeaa)DE-He213 Wu, Yuanqing aut He, Shenghuang aut Enthalten in Circuits, systems and signal processing Boston, Mass. : Birkhäuser, 1982 38(2018), 4 vom: 20. Sept., Seite 1596-1618 (DE-627)351975470 (DE-600)2085136-4 1531-5878 nnns volume:38 year:2018 number:4 day:20 month:09 pages:1596-1618 https://dx.doi.org/10.1007/s00034-018-0940-3 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_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_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_267 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_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 38 2018 4 20 09 1596-1618
allfieldsSound	10.1007/s00034-018-0940-3 doi (DE-627)SPR000596531 (SPR)s00034-018-0940-3-e DE-627 ger DE-627 rakwb eng Li, Yanzhou verfasserin aut Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract This paper investigates the synchronization of network systems with time-varying delay, nonlinear dynamics and actuators saturation through the use of sampled-data controllers. Using tools from free-weighting matrix approach and Lyapunov stability theory, sufficient conditions for the synchronization of network systems are derived. It is theoretically shown that the synchronization of network systems can be achieved if the controller gain is selected suitably. Furthermore, the upper bound of sampling intervals for achieving synchronization is estimated via a simple algorithm. The effectiveness of the obtained results is verified through two numerical examples. Network systems (dpeaa)DE-He213 Synchronization (dpeaa)DE-He213 Sampled-data control (dpeaa)DE-He213 Actuators saturation (dpeaa)DE-He213 Wu, Yuanqing aut He, Shenghuang aut Enthalten in Circuits, systems and signal processing Boston, Mass. : Birkhäuser, 1982 38(2018), 4 vom: 20. Sept., Seite 1596-1618 (DE-627)351975470 (DE-600)2085136-4 1531-5878 nnns volume:38 year:2018 number:4 day:20 month:09 pages:1596-1618 https://dx.doi.org/10.1007/s00034-018-0940-3 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_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_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_267 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_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 38 2018 4 20 09 1596-1618
language	English
source	Enthalten in Circuits, systems and signal processing 38(2018), 4 vom: 20. Sept., Seite 1596-1618 volume:38 year:2018 number:4 day:20 month:09 pages:1596-1618
sourceStr	Enthalten in Circuits, systems and signal processing 38(2018), 4 vom: 20. Sept., Seite 1596-1618 volume:38 year:2018 number:4 day:20 month:09 pages:1596-1618
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Network systems Synchronization Sampled-data control Actuators saturation
isfreeaccess_bool	false
container_title	Circuits, systems and signal processing
authorswithroles_txt_mv	Li, Yanzhou @@aut@@ Wu, Yuanqing @@aut@@ He, Shenghuang @@aut@@
publishDateDaySort_date	2018-09-20T00:00:00Z
hierarchy_top_id	351975470
id	SPR000596531
language_de	englisch
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author	Li, Yanzhou
spellingShingle	Li, Yanzhou misc Network systems misc Synchronization misc Sampled-data control misc Actuators saturation Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation
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topic_title	Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation Network systems (dpeaa)DE-He213 Synchronization (dpeaa)DE-He213 Sampled-data control (dpeaa)DE-He213 Actuators saturation (dpeaa)DE-He213
topic	misc Network systems misc Synchronization misc Sampled-data control misc Actuators saturation
topic_unstemmed	misc Network systems misc Synchronization misc Sampled-data control misc Actuators saturation
topic_browse	misc Network systems misc Synchronization misc Sampled-data control misc Actuators saturation
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title	Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation
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title_full	Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation
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author_browse	Li, Yanzhou Wu, Yuanqing He, Shenghuang
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doi_str_mv	10.1007/s00034-018-0940-3
title_sort	synchronization of network systems subject to nonlinear dynamics and actuators saturation
title_auth	Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation
abstract	Abstract This paper investigates the synchronization of network systems with time-varying delay, nonlinear dynamics and actuators saturation through the use of sampled-data controllers. Using tools from free-weighting matrix approach and Lyapunov stability theory, sufficient conditions for the synchronization of network systems are derived. It is theoretically shown that the synchronization of network systems can be achieved if the controller gain is selected suitably. Furthermore, the upper bound of sampling intervals for achieving synchronization is estimated via a simple algorithm. The effectiveness of the obtained results is verified through two numerical examples. © Springer Science+Business Media, LLC, part of Springer Nature 2018
abstractGer	Abstract This paper investigates the synchronization of network systems with time-varying delay, nonlinear dynamics and actuators saturation through the use of sampled-data controllers. Using tools from free-weighting matrix approach and Lyapunov stability theory, sufficient conditions for the synchronization of network systems are derived. It is theoretically shown that the synchronization of network systems can be achieved if the controller gain is selected suitably. Furthermore, the upper bound of sampling intervals for achieving synchronization is estimated via a simple algorithm. The effectiveness of the obtained results is verified through two numerical examples. © Springer Science+Business Media, LLC, part of Springer Nature 2018
abstract_unstemmed	Abstract This paper investigates the synchronization of network systems with time-varying delay, nonlinear dynamics and actuators saturation through the use of sampled-data controllers. Using tools from free-weighting matrix approach and Lyapunov stability theory, sufficient conditions for the synchronization of network systems are derived. It is theoretically shown that the synchronization of network systems can be achieved if the controller gain is selected suitably. Furthermore, the upper bound of sampling intervals for achieving synchronization is estimated via a simple algorithm. The effectiveness of the obtained results is verified through two numerical examples. © Springer Science+Business Media, LLC, part of Springer Nature 2018
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title_short	Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation
url	https://dx.doi.org/10.1007/s00034-018-0940-3
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up_date	2024-07-03T17:11:00.479Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR000596531</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230330083845.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2018 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00034-018-0940-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR000596531</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00034-018-0940-3-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Li, Yanzhou</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Synchronization of Network Systems Subject to Nonlinear Dynamics and Actuators Saturation</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC, part of Springer Nature 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This paper investigates the synchronization of network systems with time-varying delay, nonlinear dynamics and actuators saturation through the use of sampled-data controllers. Using tools from free-weighting matrix approach and Lyapunov stability theory, sufficient conditions for the synchronization of network systems are derived. It is theoretically shown that the synchronization of network systems can be achieved if the controller gain is selected suitably. Furthermore, the upper bound of sampling intervals for achieving synchronization is estimated via a simple algorithm. 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