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  Mean-square consensus of multi-agent systems with noise and time delay via event-triggered control

Sun, F., Shen, Y., Kurths, J., Zhu, W. (2020): Mean-square consensus of multi-agent systems with noise and time delay via event-triggered control. - Journal of the Franklin Institute, 357, 9, 5317-5339.
https://doi.org/10.1016/j.jfranklin.2020.02.047

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???ViewItemFull_lblCiteItemAs???: https://publications.pik-potsdam.de/pubman/item/item_25231 ???ViewItemFull_lblCiteItemVersionAs???: https://publications.pik-potsdam.de/pubman/item/item_25231_4
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 ???ViewItemFull_lblCreators???:
Sun, Fenglan1, ???ENUM_CREATORROLE_AUTHOR???           
Shen, Yunhao2, ???ENUM_CREATORROLE_AUTHOR???
Kurths, Jürgen1, ???ENUM_CREATORROLE_AUTHOR???           
Zhu, Wei2, ???ENUM_CREATORROLE_AUTHOR???
???ViewItemFull_lblAffiliations???:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 ???ViewItemFull_lblAbstract???: This paper studies the mean-square consensus for multi-agent systems with measurement noise and time delay via event-triggered control. By combining graph theory, stochastic analysis and matrix theory, some necessary and sufficient conditions for the consensus protocols are given. We show that through the periodic event-checking technique, the consensus systems could tolerate even a large time delay. Several simulations are presented to illustrate the effectiveness of the control protocol.

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 ???ViewItemFull_lblDates???: 2020-06
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 ???ViewItemFull_lblIdentifiers???: ???ENUM_IDENTIFIERTYPE_DOI???: 10.1016/j.jfranklin.2020.02.047
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???ENUM_IDENTIFIERTYPE_PIKDOMAIN???: RD4 - Complexity Science
???ENUM_IDENTIFIERTYPE_ORGANISATIONALK???: RD4 - Complexity Science
???ENUM_IDENTIFIERTYPE_WORKINGGROUP???: Network- and machine-learning-based prediction of extreme events
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???ViewItemFull_lblSourceTitle???: Journal of the Franklin Institute
???ViewItemFull_lblSourceGenre???: ???ENUM_GENRE_JOURNAL???, SCI, Scopus
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???ENUM_IDENTIFIERTYPE_PUBLISHER???: Elsevier