Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Eun, Yongsoon | - |
dc.contributor.author | Lee, Jaeho | - |
dc.contributor.author | Shim, Hyungbo | - |
dc.date.accessioned | 2024-02-08T18:40:16Z | - |
dc.date.available | 2024-02-08T18:40:16Z | - |
dc.date.created | 2023-09-01 | - |
dc.date.issued | 2023-06-01 | - |
dc.identifier.isbn | 9798350328066 | - |
dc.identifier.issn | 2378-5861 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/47896 | - |
dc.description.abstract | This work develops a data-based construction of inverse dynamics for LTI systems. Specifically, the problem addressed here is to find an input sequence from the corresponding output sequence based on pre-collected input and output data. The problem can be considered as a reverse of the recent use of the behavioral approach, in which the output sequence is obtained for a given input sequence by solving an equation formed by pre-collected data. The condition under which the problem gives a solution is investigated and turns out to be L-delay invertibility of the plant and a certain degree of persistent excitation of the data input. The result is applied to form a data-driven disturbance observer. The plant dynamics augmented by the data-driven disturbance observer exhibits disturbance rejection without the model knowledge of the plant. © 2023 American Automatic Control Council. | - |
dc.language | English | - |
dc.publisher | American Automatic Control Council | - |
dc.title | Data-Driven Inverse of Linear Systems and Application to Disturbance Observers | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.23919/ACC55779.2023.10156256 | - |
dc.identifier.scopusid | 2-s2.0-85167809024 | - |
dc.identifier.bibliographicCitation | 2023 American Control Conference, ACC 2023, pp.2806 - 2811 | - |
dc.identifier.url | https://acc2023.a2c2.org/wp-content/uploads/sites/66/2023/05/ACC23_BookOfAbstracts_PDF-V3.pdf | - |
dc.citation.conferencePlace | US | - |
dc.citation.conferencePlace | San Diego | - |
dc.citation.endPage | 2811 | - |
dc.citation.startPage | 2806 | - |
dc.citation.title | 2023 American Control Conference, ACC 2023 | - |
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