Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152108
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dc.contributor.authorChen, Cien_US
dc.contributor.authorXie, Kanen_US
dc.contributor.authorLewis, Frank L.en_US
dc.contributor.authorXie, Shenglien_US
dc.contributor.authorFierro, Rafaelen_US
dc.date.accessioned2021-09-09T05:42:47Z-
dc.date.available2021-09-09T05:42:47Z-
dc.date.issued2019-
dc.identifier.citationChen, C., Xie, K., Lewis, F. L., Xie, S. & Fierro, R. (2019). Adaptive synchronization of multi-agent systems with resilience to communication link faults. Automatica, 111, 108636-. https://dx.doi.org/10.1016/j.automatica.2019.108636en_US
dc.identifier.issn0005-1098en_US
dc.identifier.urihttps://hdl.handle.net/10356/152108-
dc.description.abstractThe resilience of multi-agent systems (MAS) measures the capability of recovering the cooperative performance after experiencing faults or uncertainties. In this paper, we seek the improvement of the synchronization resilience for MAS by means of addressing unknown faults on communication links. To this end, we first transform the resilient control problem into designing distributed state observers. In addition, we show that the proposed state observers are resilient to communication link faults. Finally, we provide the main result of this paper as a synchronization protocol for MAS even in the presence of communication link faults.en_US
dc.language.isoenen_US
dc.relation.ispartofAutomaticaen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleAdaptive synchronization of multi-agent systems with resilience to communication link faultsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doi10.1016/j.automatica.2019.108636-
dc.identifier.scopus2-s2.0-85074347746-
dc.identifier.volume111en_US
dc.identifier.spage108636en_US
dc.subject.keywordsCommunication Link Faultsen_US
dc.subject.keywordsResilienceen_US
dc.description.acknowledgementThis work was supported in part by National Natural Science Foundation of China under Grants 61703112, 61703113, 61727810, 61973087, and 61633007, in part by the Wallenberg-NTU Presidential Postdoctoral Fellowship, Singapore, in part by the U.S. National Science Foundation under Grant 1839804, and in part by Office of Naval Research, USA under Grant N00014-17-1-2239. R. Fierro’s work was supported in part by Air Force Research Laboratory (AFRL), USA under agreement number FA9453-18-2-0022.en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
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