Neuro-adaptive augmented distributed nonlinear dynamic inversion for consensus of nonlinear agents with unknown external disturbance

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dc.contributor.authorMondal, Sabyasachi
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2022-02-14T12:35:37Z
dc.date.available2022-02-14T12:35:37Z
dc.date.issued2022-02-07
dc.description.abstractThis paper presents a novel neuro-adaptive augmented distributed nonlinear dynamic inversion (N-DNDI) controller for consensus of nonlinear multi-agent systems in the presence of unknown external disturbance. N-DNDI is a blending of neural network and distributed nonlinear dynamic inversion (DNDI), a new consensus control technique that inherits the features of Nonlinear Dynamic Inversion (NDI) and is capable of handling the unknown external disturbance. The implementation of NDI based consensus control along with neural networks is unique in the context of multi-agent consensus. The mathematical details provided in this paper show the solid theoretical base, and simulation results prove the effectiveness of the proposed scheme.en_UK
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC): EP/R009953/1.en_UK
dc.identifier.citationMondal S, Tsourdos A. (2022) Neuro-adaptive augmented distributed nonlinear dynamic inversion for consensus of nonlinear agents with unknown external disturbance, Scientific Reports, Volume 12, February 2022, Article number 2049en_UK
dc.identifier.issn2045-2322
dc.identifier.urihttps://doi.org/10.1038/s41598-022-05663-4
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17566
dc.language.isoenen_UK
dc.publisherNatureen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAerospace engineeringen_UK
dc.subjectElectrical and electronic engineeringen_UK
dc.subjectEngineeringen_UK
dc.titleNeuro-adaptive augmented distributed nonlinear dynamic inversion for consensus of nonlinear agents with unknown external disturbanceen_UK
dc.typeArticleen_UK

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