DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, Seungin | ko |
dc.contributor.author | Choi, Seibum B. | ko |
dc.date.accessioned | 2023-01-02T05:00:31Z | - |
dc.date.available | 2023-01-02T05:00:31Z | - |
dc.date.created | 2023-01-02 | - |
dc.date.issued | 2023-02 | - |
dc.identifier.citation | MECHANISM AND MACHINE THEORY, v.180 | - |
dc.identifier.issn | 0094-114X | - |
dc.identifier.uri | http://hdl.handle.net/10203/303877 | - |
dc.description.abstract | In this paper, an observer-based iterative learning control with an output feedback control scheme is proposed for a high relative degree nonlinear system with an unmeasurable control state. Multiple differentiation of measurements can make the control result sensitive to mea-surement noise when controlling such systems. A convergence analysis was established that can use only lower-order differentiation regardless of the highest-order differentiation, based on the robustness condition to measurement noise and initial estimation error. The application to the vehicular wet-clutch system is presented to illustrate the effectiveness of the proposed method and its learning gain selection. These contributions are verified through theoretical analysis and simulation of the wet-clutch system. The simulation results show the effectiveness of the proposed approach for a class of nonlinear systems with a high relative degree. | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.title | Observer-based iterative learning control for a high relative degree nonlinear system and its application to a vehicular wet-clutch | - |
dc.type | Article | - |
dc.identifier.wosid | 000892249400004 | - |
dc.identifier.scopusid | 2-s2.0-85142183329 | - |
dc.type.rims | ART | - |
dc.citation.volume | 180 | - |
dc.citation.publicationname | MECHANISM AND MACHINE THEORY | - |
dc.identifier.doi | 10.1016/j.mechmachtheory.2022.105158 | - |
dc.contributor.localauthor | Choi, Seibum B. | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Iterative learning control | - |
dc.subject.keywordAuthor | Nonlinear system | - |
dc.subject.keywordAuthor | Observer | - |
dc.subject.keywordAuthor | Relative degree | - |
dc.subject.keywordAuthor | Robustness | - |
dc.subject.keywordAuthor | Noise | - |
dc.subject.keywordPlus | STATE OBSERVER | - |
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