Multi-agent containment control with random link failures over dynamic cooperative networks
In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribut...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Xu, Yan [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Modeling and simulation of electrophoretic deposition coatings - Verma, Kevin ELSEVIER, 2020, engineering and applied mathematics, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:356 ; year:2019 ; number:16 ; pages:9665-9676 ; extent:12 |
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| DOI / URN: |
10.1016/j.jfranklin.2019.09.022 |
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| 520 | |a In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. | ||
| 520 | |a In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. | ||
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10.1016/j.jfranklin.2019.09.022 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000795.pica (DE-627)ELV048336572 (ELSEVIER)S0016-0032(19)30679-9 DE-627 ger DE-627 rakwb eng 004 VZ Xu, Yan verfasserin aut Multi-agent containment control with random link failures over dynamic cooperative networks 2019transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. Cheng, Yuhua oth Bai, Libing oth Zhang, Xilin oth Enthalten in Elsevier Science Verma, Kevin ELSEVIER Modeling and simulation of electrophoretic deposition coatings 2020 engineering and applied mathematics Amsterdam [u.a.] (DE-627)ELV003960617 volume:356 year:2019 number:16 pages:9665-9676 extent:12 https://doi.org/10.1016/j.jfranklin.2019.09.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 356 2019 16 9665-9676 12 |
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10.1016/j.jfranklin.2019.09.022 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000795.pica (DE-627)ELV048336572 (ELSEVIER)S0016-0032(19)30679-9 DE-627 ger DE-627 rakwb eng 004 VZ Xu, Yan verfasserin aut Multi-agent containment control with random link failures over dynamic cooperative networks 2019transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. Cheng, Yuhua oth Bai, Libing oth Zhang, Xilin oth Enthalten in Elsevier Science Verma, Kevin ELSEVIER Modeling and simulation of electrophoretic deposition coatings 2020 engineering and applied mathematics Amsterdam [u.a.] (DE-627)ELV003960617 volume:356 year:2019 number:16 pages:9665-9676 extent:12 https://doi.org/10.1016/j.jfranklin.2019.09.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 356 2019 16 9665-9676 12 |
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10.1016/j.jfranklin.2019.09.022 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000795.pica (DE-627)ELV048336572 (ELSEVIER)S0016-0032(19)30679-9 DE-627 ger DE-627 rakwb eng 004 VZ Xu, Yan verfasserin aut Multi-agent containment control with random link failures over dynamic cooperative networks 2019transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. Cheng, Yuhua oth Bai, Libing oth Zhang, Xilin oth Enthalten in Elsevier Science Verma, Kevin ELSEVIER Modeling and simulation of electrophoretic deposition coatings 2020 engineering and applied mathematics Amsterdam [u.a.] (DE-627)ELV003960617 volume:356 year:2019 number:16 pages:9665-9676 extent:12 https://doi.org/10.1016/j.jfranklin.2019.09.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 356 2019 16 9665-9676 12 |
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10.1016/j.jfranklin.2019.09.022 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000795.pica (DE-627)ELV048336572 (ELSEVIER)S0016-0032(19)30679-9 DE-627 ger DE-627 rakwb eng 004 VZ Xu, Yan verfasserin aut Multi-agent containment control with random link failures over dynamic cooperative networks 2019transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. Cheng, Yuhua oth Bai, Libing oth Zhang, Xilin oth Enthalten in Elsevier Science Verma, Kevin ELSEVIER Modeling and simulation of electrophoretic deposition coatings 2020 engineering and applied mathematics Amsterdam [u.a.] (DE-627)ELV003960617 volume:356 year:2019 number:16 pages:9665-9676 extent:12 https://doi.org/10.1016/j.jfranklin.2019.09.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 356 2019 16 9665-9676 12 |
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10.1016/j.jfranklin.2019.09.022 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000795.pica (DE-627)ELV048336572 (ELSEVIER)S0016-0032(19)30679-9 DE-627 ger DE-627 rakwb eng 004 VZ Xu, Yan verfasserin aut Multi-agent containment control with random link failures over dynamic cooperative networks 2019transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. Cheng, Yuhua oth Bai, Libing oth Zhang, Xilin oth Enthalten in Elsevier Science Verma, Kevin ELSEVIER Modeling and simulation of electrophoretic deposition coatings 2020 engineering and applied mathematics Amsterdam [u.a.] (DE-627)ELV003960617 volume:356 year:2019 number:16 pages:9665-9676 extent:12 https://doi.org/10.1016/j.jfranklin.2019.09.022 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U AR 356 2019 16 9665-9676 12 |
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In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. |
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In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. |
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In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper. |
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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">ELV048336572</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626021700.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">200108s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jfranklin.2019.09.022</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000795.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV048336572</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0016-0032(19)30679-9</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">Xu, Yan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Multi-agent containment control with random link failures over dynamic cooperative networks</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">12</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In this contribution, the containment control problem for a team of agents with discrete-time second-order dynamics over dynamic cooperative networks is discussed, where data from the controller to the actuator may be lost randomly and it is described by a random variable obeying Bernoulli distribution. A random-based distributed controller is designed by using the information from neighbors. Based on the hybrid tools of graph theory and nonnegative matrix, it is shown that the implementation of containment control is related to the dynamic cooperative networks and the successful rate of information transmission. Finally, a simulation is carried out to demonstrate the result in this paper.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cheng, Yuhua</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bai, Libing</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Xilin</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Verma, Kevin ELSEVIER</subfield><subfield code="t">Modeling and simulation of electrophoretic deposition coatings</subfield><subfield code="d">2020</subfield><subfield code="d">engineering and applied mathematics</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV003960617</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:356</subfield><subfield code="g">year:2019</subfield><subfield code="g">number:16</subfield><subfield code="g">pages:9665-9676</subfield><subfield code="g">extent:12</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jfranklin.2019.09.022</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">356</subfield><subfield code="j">2019</subfield><subfield code="e">16</subfield><subfield code="h">9665-9676</subfield><subfield code="g">12</subfield></datafield></record></collection>
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