Input-to-state stability for a class of discrete-time nonlinear input-saturated switched descriptor systems with unstable subsystems
Abstract This paper concerns the input-to-state stability (ISS) problems for a class of discrete-time nonlinear input-saturated switched descriptor systems (SDSs). An ISS criterion that only partial subsystems are exponentially stable is provided based on average dwell time method and discrete-time...
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| Autor*in: |
Liu, Yunlong [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Anmerkung: |
© The Natural Computing Applications Forum 2016 |
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| Übergeordnetes Werk: |
Enthalten in: Neural computing & applications - Springer London, 1993, 29(2016), 7 vom: 23. Aug., Seite 417-424 |
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| Übergeordnetes Werk: |
volume:29 ; year:2016 ; number:7 ; day:23 ; month:08 ; pages:417-424 |
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| DOI / URN: |
10.1007/s00521-016-2519-x |
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OLC2025604947 |
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| 520 | |a Abstract This paper concerns the input-to-state stability (ISS) problems for a class of discrete-time nonlinear input-saturated switched descriptor systems (SDSs). An ISS criterion that only partial subsystems are exponentially stable is provided based on average dwell time method and discrete-time iterative algorithm. The proof difficulty is greatly decreased, and the switching controllers for the subsystems of the closed-loop SDSs are much simple and viable. Furthermore, the cost of the controllers is also greatly reduced. Finally, extensive simulation results are presented to illustrate the effectiveness of the developed method. | ||
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10.1007/s00521-016-2519-x doi (DE-627)OLC2025604947 (DE-He213)s00521-016-2519-x-p DE-627 ger DE-627 rakwb eng 004 VZ Liu, Yunlong verfasserin aut Input-to-state stability for a class of discrete-time nonlinear input-saturated switched descriptor systems with unstable subsystems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Natural Computing Applications Forum 2016 Abstract This paper concerns the input-to-state stability (ISS) problems for a class of discrete-time nonlinear input-saturated switched descriptor systems (SDSs). An ISS criterion that only partial subsystems are exponentially stable is provided based on average dwell time method and discrete-time iterative algorithm. The proof difficulty is greatly decreased, and the switching controllers for the subsystems of the closed-loop SDSs are much simple and viable. Furthermore, the cost of the controllers is also greatly reduced. Finally, extensive simulation results are presented to illustrate the effectiveness of the developed method. Switched descriptor system Input-to-state stability Input-saturated Discrete-time iterative algorithm Average dwell time Wang, Juan aut Gao, Cunchen aut Tang, Shuhong aut Gao, Zairui aut Enthalten in Neural computing & applications Springer London, 1993 29(2016), 7 vom: 23. Aug., Seite 417-424 (DE-627)165669608 (DE-600)1136944-9 (DE-576)032873050 0941-0643 nnns volume:29 year:2016 number:7 day:23 month:08 pages:417-424 https://doi.org/10.1007/s00521-016-2519-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 AR 29 2016 7 23 08 417-424 |
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10.1007/s00521-016-2519-x doi (DE-627)OLC2025604947 (DE-He213)s00521-016-2519-x-p DE-627 ger DE-627 rakwb eng 004 VZ Liu, Yunlong verfasserin aut Input-to-state stability for a class of discrete-time nonlinear input-saturated switched descriptor systems with unstable subsystems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Natural Computing Applications Forum 2016 Abstract This paper concerns the input-to-state stability (ISS) problems for a class of discrete-time nonlinear input-saturated switched descriptor systems (SDSs). An ISS criterion that only partial subsystems are exponentially stable is provided based on average dwell time method and discrete-time iterative algorithm. The proof difficulty is greatly decreased, and the switching controllers for the subsystems of the closed-loop SDSs are much simple and viable. Furthermore, the cost of the controllers is also greatly reduced. Finally, extensive simulation results are presented to illustrate the effectiveness of the developed method. Switched descriptor system Input-to-state stability Input-saturated Discrete-time iterative algorithm Average dwell time Wang, Juan aut Gao, Cunchen aut Tang, Shuhong aut Gao, Zairui aut Enthalten in Neural computing & applications Springer London, 1993 29(2016), 7 vom: 23. Aug., Seite 417-424 (DE-627)165669608 (DE-600)1136944-9 (DE-576)032873050 0941-0643 nnns volume:29 year:2016 number:7 day:23 month:08 pages:417-424 https://doi.org/10.1007/s00521-016-2519-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 AR 29 2016 7 23 08 417-424 |
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10.1007/s00521-016-2519-x doi (DE-627)OLC2025604947 (DE-He213)s00521-016-2519-x-p DE-627 ger DE-627 rakwb eng 004 VZ Liu, Yunlong verfasserin aut Input-to-state stability for a class of discrete-time nonlinear input-saturated switched descriptor systems with unstable subsystems 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Natural Computing Applications Forum 2016 Abstract This paper concerns the input-to-state stability (ISS) problems for a class of discrete-time nonlinear input-saturated switched descriptor systems (SDSs). An ISS criterion that only partial subsystems are exponentially stable is provided based on average dwell time method and discrete-time iterative algorithm. The proof difficulty is greatly decreased, and the switching controllers for the subsystems of the closed-loop SDSs are much simple and viable. Furthermore, the cost of the controllers is also greatly reduced. Finally, extensive simulation results are presented to illustrate the effectiveness of the developed method. Switched descriptor system Input-to-state stability Input-saturated Discrete-time iterative algorithm Average dwell time Wang, Juan aut Gao, Cunchen aut Tang, Shuhong aut Gao, Zairui aut Enthalten in Neural computing & applications Springer London, 1993 29(2016), 7 vom: 23. Aug., Seite 417-424 (DE-627)165669608 (DE-600)1136944-9 (DE-576)032873050 0941-0643 nnns volume:29 year:2016 number:7 day:23 month:08 pages:417-424 https://doi.org/10.1007/s00521-016-2519-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4277 AR 29 2016 7 23 08 417-424 |
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Abstract This paper concerns the input-to-state stability (ISS) problems for a class of discrete-time nonlinear input-saturated switched descriptor systems (SDSs). An ISS criterion that only partial subsystems are exponentially stable is provided based on average dwell time method and discrete-time iterative algorithm. The proof difficulty is greatly decreased, and the switching controllers for the subsystems of the closed-loop SDSs are much simple and viable. Furthermore, the cost of the controllers is also greatly reduced. Finally, extensive simulation results are presented to illustrate the effectiveness of the developed method. © The Natural Computing Applications Forum 2016 |
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Abstract This paper concerns the input-to-state stability (ISS) problems for a class of discrete-time nonlinear input-saturated switched descriptor systems (SDSs). An ISS criterion that only partial subsystems are exponentially stable is provided based on average dwell time method and discrete-time iterative algorithm. The proof difficulty is greatly decreased, and the switching controllers for the subsystems of the closed-loop SDSs are much simple and viable. Furthermore, the cost of the controllers is also greatly reduced. Finally, extensive simulation results are presented to illustrate the effectiveness of the developed method. © The Natural Computing Applications Forum 2016 |
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Abstract This paper concerns the input-to-state stability (ISS) problems for a class of discrete-time nonlinear input-saturated switched descriptor systems (SDSs). An ISS criterion that only partial subsystems are exponentially stable is provided based on average dwell time method and discrete-time iterative algorithm. The proof difficulty is greatly decreased, and the switching controllers for the subsystems of the closed-loop SDSs are much simple and viable. Furthermore, the cost of the controllers is also greatly reduced. Finally, extensive simulation results are presented to illustrate the effectiveness of the developed method. © The Natural Computing Applications Forum 2016 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2025604947</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502114734.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00521-016-2519-x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2025604947</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00521-016-2519-x-p</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="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Liu, Yunlong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Input-to-state stability for a class of discrete-time nonlinear input-saturated switched descriptor systems with unstable subsystems</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Natural Computing Applications Forum 2016</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This paper concerns the input-to-state stability (ISS) problems for a class of discrete-time nonlinear input-saturated switched descriptor systems (SDSs). An ISS criterion that only partial subsystems are exponentially stable is provided based on average dwell time method and discrete-time iterative algorithm. The proof difficulty is greatly decreased, and the switching controllers for the subsystems of the closed-loop SDSs are much simple and viable. Furthermore, the cost of the controllers is also greatly reduced. Finally, extensive simulation results are presented to illustrate the effectiveness of the developed method.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Switched descriptor system</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Input-to-state stability</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Input-saturated</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Discrete-time iterative algorithm</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Average dwell time</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Juan</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gao, Cunchen</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tang, Shuhong</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gao, Zairui</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Neural computing & applications</subfield><subfield code="d">Springer London, 1993</subfield><subfield code="g">29(2016), 7 vom: 23. 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