Leader-following consensus for upper-triangular multi-agent systems via sampled and delayed output feedback

dc.contributor.authorLi, Fengjiao
dc.contributor.authorShen, Yanjun
dc.contributor.authorZhang, Daoyuan
dc.contributor.authorHuang, Xiongfeng
dc.contributor.authorWang, Yan-Wu
dc.date.accessioned2017-10-31T10:02:15Z
dc.date.issued2018-01
dc.description.abstractIn this paper, the leader-following consensus problem is investigated for upper-triangular nonlinear MASs (multi-agent systems) via sampled and delayed output feedback. The sampled outputs transmitted through the communication channels are used to constructed the output feedback controllers directly. Then, the output feedback control signals transmitted through the other communication channels are used to update the MASs. Two kinds of transmission delays, i.e., transmission delays from the MASs to the output feedback controllers and transmission delays from the output feedback controllers to the MASs, make the MASs and the output feedback controllers to be updated at different time instants. A method of interval decomposition is proposed such that the MASs and the output feedback controllers are updated at the same interval. Then, sufficient conditions are presented to ensure the MASs reach leader-following consensus. At last, an example is provided to verify efficiency of the proposed methods.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.embargo2019-01-31
dc.description.librarianhj2017en_ZA
dc.description.sponsorshipThe National Natural Science Foundation of China (61374028, 51407104, 61773172).en_ZA
dc.description.urihttp://www.elsevier.com/locate/neucomen_ZA
dc.identifier.citationLi, F., Shen, Y., Zhang, D., Huang, X. & Wang, Y.-W. Leader-following consensus for upper-triangular multi-agent systems via sampled and delayed output feedback, Neurocomputing (2018) 275:1441-1448, https://doi.org/10.1016/j.neucom.2017.09.077.en_ZA
dc.identifier.issn0925-2312 (print)
dc.identifier.issn1872-8286 (online)
dc.identifier.other10.1016/j.neucom.2017.09.077
dc.identifier.urihttp://hdl.handle.net/2263/62984
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2017 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Neurocomputing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Neurocomputing, vol. 275, pp. 1441-1448, 2018. doi : 10.1016/j.neucom.2017.09.077.en_ZA
dc.subjectMulti-agent systems (MASs)en_ZA
dc.subjectInterval decompositionen_ZA
dc.subjectOutput feedbacken_ZA
dc.subjectSampled dataen_ZA
dc.subjectLeader following consensusen_ZA
dc.subjectNonlinear systemsen_ZA
dc.subjectUpper triangularen_ZA
dc.subjectCommunication channels (information theory)en_ZA
dc.subjectControllersen_ZA
dc.subjectFeedback controlen_ZA
dc.titleLeader-following consensus for upper-triangular multi-agent systems via sampled and delayed output feedbacken_ZA
dc.typePostprint Articleen_ZA

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