Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/127350
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dc.contributor.authorXu, Y.-
dc.contributor.authorFang, M.-
dc.contributor.authorShi, P.-
dc.contributor.authorWu, Z.-
dc.date.issued2020-
dc.identifier.citationIEEE Transactions on Cybernetics, 2020; 50(8):3468-3476-
dc.identifier.issn2168-2267-
dc.identifier.issn2168-2275-
dc.identifier.urihttp://hdl.handle.net/2440/127350-
dc.description.abstractThis paper studies the problem of event-triggered secure consensus for multiagent systems subject to periodic energy-limited denial-of-service (DoS) attacks, where DoS attacks usually prevent agent-to-agent data transmission. The DoS attacks are assumed to occur periodically based on the time-sequence way and the period of DoS attacks and the uniform lower bound of the communication areas are predetected by some devices. Based on the above assumptions, an event-based protocol consisting of two different measurements corresponding to leader-followers and follower-follower is presented to schedule communications between agents, which can reduce the update frequency of the controller. Then, the stability of the resultant error system is analyzed to derive sufficient conditions of achieving secure consensus by employing the Lyapunov function and the inductive approach. Besides, positive low bounds on any two consecutive intervals of events generated by individual events are calculated to eliminate "Zeno behavior" under the developed triggering condition and event-triggered protocol. Simulation result is provided to verify the theoretical analysis.-
dc.description.statementofresponsibilityYong Xu, Mei Fang, Peng Shi, Zheng-Guang Wu-
dc.language.isoen-
dc.publisherIEEE-
dc.rights© 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.-
dc.subjectEvent-triggered control (ETC); multiagent systems (MASs); secure consensus-
dc.titleEvent-based secure consensus of mutiagent systems against DoS attacks-
dc.typeJournal article-
dc.identifier.doi10.1109/TCYB.2019.2918402-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP170102644-
pubs.publication-statusPublished-
dc.identifier.orcidShi, P. [0000-0001-8218-586X]-
Appears in Collections:Aurora harvest 8
Computer Science publications

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