Composite model reference adaptive control under finite excitation with unstructured uncertainties

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dc.contributor.authorCho, Namhoon
dc.contributor.authorShin, Hyosang
dc.contributor.authorKim, Youdan
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2024-01-24T09:43:45Z
dc.date.available2024-01-24T09:43:45Z
dc.date.issued2024-01-19
dc.description.abstractThis paper presents an online parameter update algorithm in the context of composite model reference adaptive control based on intermittent signal holding to improve convergence properties of the parameters representing the unstructured uncertainties in the absence of persistent excitation. The present study extends the algorithm which was previously developed by considering only the structured uncertainties for which the basis functions are known a priori. The proposed extension utilises the Gaussian radial basis function neural network as the model for the uncertainty assuming appropriate placement of the local basis functions in the state space. A notable distinction from the case with full knowledge of the features constituting the linearly-parameterised uncertainty model is that the extended algorithm introduces a robustifying modification in the earlier phase of operation to deal with the inevitable learning residual.en_UK
dc.identifier.citationCho N, Shin HS, Kim Y, Tsourdos A. (2023) Composite model reference adaptive control under finite excitation with unstructured uncertainties. In 2023 62nd IEEE Conference on Decision and Control (CDC), 13-15 December 2023, Singapore, pp. 529-535en_UK
dc.identifier.eisbn979-8-3503-0124-3
dc.identifier.eissn2576-2370
dc.identifier.isbn979-8-3503-0125-0
dc.identifier.issn0743-1546
dc.identifier.urihttps://doi.org/10.1109/CDC49753.2023.10383834
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20708
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectModel Reference Adaptive Controlen_UK
dc.subjectFinite Excitationen_UK
dc.subjectParameter Convergenceen_UK
dc.subjectRadial Basis Functionen_UK
dc.subjectUnstructured Uncertaintiesen_UK
dc.subjectComposite Adaptive Controlen_UK
dc.titleComposite model reference adaptive control under finite excitation with unstructured uncertaintiesen_UK
dc.typeConference paperen_UK
dcterms.dateAccepted2023-07-12

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