Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/134022
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dc.contributor.authorYan, B.-
dc.contributor.authorShi, P.-
dc.contributor.authorLim, C.C.-
dc.date.issued2022-
dc.identifier.citationIEEE Transactions on Automation Science and Engineering, 2022; 19(4):2788-2800-
dc.identifier.issn1042-296X-
dc.identifier.issn1558-3783-
dc.identifier.urihttps://hdl.handle.net/2440/134022-
dc.descriptionDate of Publication: 23 August 2021; date of current version 13 October 2022.-
dc.description.abstractIn this article, a distributed adaptive event-triggered formation control strategy is proposed for unified nonlinear heterogeneous multiagent systems under uncertainties and disturbances to achieve time-varying formations. To reduce the frequency of data transmission, a distributed dual adaptive observer with an event-triggered strategy is developed to estimate the states of a reference exosystem. Without incurring prior global information about a communication graph, a novel robust formation controller, with dynamic distributed compensators for uncertainties and disturbances, is designed based on an observer result and a nonlinear internal control principle. Finally, both simulation and experiment are conducted for tracking and patrolling formation to verify the effectiveness of the proposed formation control strategy and its robustness.-
dc.description.statementofresponsibilityBing Yan, Peng Shi, Cheng-Chew Lim-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.rights© 2021 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.-
dc.source.urihttp://dx.doi.org/10.1109/tase.2021.3103877-
dc.subjectAdaptive observer; event-triggered strategy; heterogeneous nonlinear multiagent systems (MASs); robust formation control.-
dc.titleRobust Formation Control for Nonlinear Heterogeneous Multi-agent Systems based on Adaptive Event-triggered Strategy-
dc.typeJournal article-
dc.identifier.doi10.1109/TASE.2021.3103877-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP170102644-
pubs.publication-statusPublished-
dc.identifier.orcidYan, B. [0000-0003-3945-3069]-
dc.identifier.orcidShi, P. [0000-0001-8218-586X]-
dc.identifier.orcidLim, C.C. [0000-0002-2463-9760]-
Appears in Collections:Electrical and Electronic Engineering publications

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