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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24761
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dc.contributor.authorMicev, M-
dc.contributor.authorĆalasan, M-
dc.contributor.authorRadulović, M-
dc.contributor.authorAbdel Aleem, SHE-
dc.contributor.authorHasanien, HM-
dc.contributor.authorZobaa, AF-
dc.date.accessioned2022-06-30T18:02:08Z-
dc.date.available2022-06-30T18:02:08Z-
dc.date.issued2022-07-01-
dc.identifier.citationMicev, M., Ćalasan, M., Radulović, M., Abdel Aleem, S.H.E., Hasanien, H.M. and Zobaa, A.F. (2022) 'Artificial neural network-based nonlinear black-box modeling of synchronous generators', IEEE Transactions on Industrial Informatics, 0 (in press), pp. 1-12. doi: 10.1109/TII.2022.3187740.en_US
dc.identifier.issn1551-3203-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/24761-
dc.descriptionData availability: The complete experimental measurements presented in Figs. 6 and 7, along with some of the used Matlab codes and Simulink models, are located on the following link: https://drive.google.com/file/d/1OlNfo56QIgJUaKioGhenOJ28WNt88y3/view?usp=sharing. It can be downloaded with the permission of the authors.en_US
dc.format.extent1 - 12-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html-
dc.subjectartificial neural networksen_US
dc.subjectautomatic voltage regulationen_US
dc.subjectexperimental measurementsen_US
dc.subjectLevenberg-Marquardt algorithmen_US
dc.subjectnonlinear modelingen_US
dc.subjectparameter identificationen_US
dc.subjectsynchronous generatorsen_US
dc.titleArtificial neural network-based nonlinear black-box modeling of synchronous generatorsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/TII.2022.3187740-
dc.relation.isPartOfIEEE Transactions on Industrial Informatics-
pubs.publication-statusPublished online-
pubs.volume0-
dc.identifier.eissn1941-0050-
Appears in Collections:Dept of Electronic and Electrical Engineering Embargoed Research Papers

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