Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, Hanul | - |
dc.contributor.author | Oh, Sehoon | - |
dc.date.accessioned | 2023-12-26T18:13:41Z | - |
dc.date.available | 2023-12-26T18:13:41Z | - |
dc.date.created | 2022-08-08 | - |
dc.date.issued | 2022-05-18 | - |
dc.identifier.isbn | 9784886864253 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/46847 | - |
dc.description.abstract | This paper proposes stochastic learning control with disturbance observer and Gaussian process to achieve the robust-ness against disturbance. Disturbance observer is designed from a frequency domain perspective to effectively remove disturbances within a desired range. The Gaussian process stochastically models disturbances that may have high frequency components in the time domain but have a definite period in the position domain. As a result, the synergy between DOB and Gaussian model improves control performance. In addition, the stability of the Gaussian model is theoretically verified and the proposed method is compared under various conditions. © 2022 IEEJ-IAS. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Stochastic Learning Control Framework in the Integrated Frequency and Position Domain | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.23919/IPEC-Himeji2022-ECCE53331.2022.9807014 | - |
dc.identifier.scopusid | 2-s2.0-85134220535 | - |
dc.identifier.bibliographicCitation | 2022 International Power Electronics Conference, IPEC-Himeji 2022-ECCE Asia, pp.1326 - 1331 | - |
dc.identifier.url | https://www.ipec2022.org/files/IPEC2022_TechnicalProgram.pdf?220513_2 | - |
dc.citation.conferencePlace | JA | - |
dc.citation.conferencePlace | Himeji | - |
dc.citation.endPage | 1331 | - |
dc.citation.startPage | 1326 | - |
dc.citation.title | 2022 International Power Electronics Conference, IPEC-Himeji 2022-ECCE Asia | - |
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