Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113307
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorDuan, Gen_US
dc.creatorYu, Xen_US
dc.creatorLee, HWJen_US
dc.date.accessioned2025-06-02T06:58:03Z-
dc.date.available2025-06-02T06:58:03Z-
dc.identifier.issn1054-1500en_US
dc.identifier.urihttp://hdl.handle.net/10397/113307-
dc.language.isoenen_US
dc.publisherAIP Publishing LLCen_US
dc.rights© 2025 Author(s). Published under an exclusive license by AIP Publishing.en_US
dc.rightsThis article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Gaopeng Duan, Xuecheng Yu, Heung Wing Joseph Lee; Asynchronous hybrid event- and time-triggered control of heterogeneous networks with communication time delays. Chaos 1 March 2025; 35 (3): 033115 and may be found at https://doi.org/10.1063/5.0239417.en_US
dc.titleAsynchronous hybrid event- and time-triggered control of heterogeneous networks with communication time delaysen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage033115-01en_US
dc.identifier.epage033115-20en_US
dc.identifier.volume35en_US
dc.identifier.issue3en_US
dc.identifier.doi10.1063/5.0239417en_US
dcterms.abstractThis paper addresses the asynchronous leader-following consensus problem for networked double-integrator systems. In practical engineering contexts, there are three key factors that must be considered significantly: (1) asynchronous hybrid event- and time-triggered control, where asynchrony affects event detection, event-triggered processes, and controller updates; (2) heterogeneous networks, wherein position and velocity information are governed by distinct, independent graphs; and (3) communication time delays arising from limited bandwidth and long-distance transmission. Due to the independence of these heterogeneous networks, edge events related to position and velocity information are defined separately. When an event occurs on an edge, the connected agents sample the corresponding relative state information (position or velocity) and update their controllers accordingly. The paper proposes a control protocol based on these event rules and employs Lyapunov methods to address the leader-following consensus problem. Numerical simulations are provided to validate and illustrate the theoretical findings.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationChaos, Mar. 2025, v. 35, no. 3, 033115, p. 033115-01 - 033115-20en_US
dcterms.isPartOfChaosen_US
dcterms.issued2025-03-
dc.identifier.scopus2-s2.0-85219652191-
dc.identifier.eissn1089-7682en_US
dc.identifier.artn033115en_US
dc.description.validate202506 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Others-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextBeijing Natural Science Foundation (4254097); National Natural Science Foundation of China (62173004); Young Elite Scientists Sponsorship Program by CASTen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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