Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, Hanul | - |
dc.contributor.author | Kong, Taejune | - |
dc.contributor.author | Kang, Jae-gu | - |
dc.contributor.author | Oh, Sehoon | - |
dc.date.accessioned | 2023-12-26T18:12:43Z | - |
dc.date.available | 2023-12-26T18:12:43Z | - |
dc.date.created | 2022-12-30 | - |
dc.date.issued | 2022-10-18 | - |
dc.identifier.isbn | 9781665480253 | - |
dc.identifier.issn | 2577-1647 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/46809 | - |
dc.description.abstract | In this paper, the parametric identification is addressed by a kernel-based model with covariance and a novel model order selection algorithm. The kernel-based model is uti-lized for training the sampled frequency response characteristics, which is insufficient for parametric identification because of noisy and discrete data. The kernel-based frequency response model improves the parametric identification by using the high covariance data. In addition, prior knowledge of the model order is essential for parametric identification. This paper proposes a novel model order selection based on the robust stability criterion of disturbance observer (DOB). The effectiveness of the proposed algorithm is verified through numerical simulations under several conditions. © 2022 IEEE. | - |
dc.language | English | - |
dc.publisher | IEEE Industrial Electronics Society | - |
dc.title | Parametric Identification using Kernel-based Frequency Response Model with Model Order Selection based on Robust Stability | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.1109/IECON49645.2022.9968765 | - |
dc.identifier.scopusid | 2-s2.0-85143891744 | - |
dc.identifier.bibliographicCitation | 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 | - |
dc.identifier.url | https://iecon2022.org/conference-program/ | - |
dc.citation.conferencePlace | BE | - |
dc.citation.conferencePlace | Brussels | - |
dc.citation.title | 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 | - |
There are no files associated with this item.