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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 146 | - |
dc.citation.startPage | 137 | - |
dc.citation.title | JOURNAL OF PROCESS CONTROL | - |
dc.citation.volume | 73 | - |
dc.contributor.author | Kim, Yeonsoo | - |
dc.contributor.author | Oh, Tae Hoon | - |
dc.contributor.author | Park, Taekyoon | - |
dc.contributor.author | Lee, Jong Min | - |
dc.date.accessioned | 2024-03-13T10:05:14Z | - |
dc.date.available | 2024-03-13T10:05:14Z | - |
dc.date.created | 2024-03-13 | - |
dc.date.issued | 2019-01 | - |
dc.description.abstract | In this study, backstepping control integrated with Lyapunov-based model predictive control (BS-MPC) is proposed for nonlinear systems in a strict-feedback form. The virtual input of the first step is designed by solving the finite-horizon optimal control problem (FHOCP), and the real input is designed by the backstepping method. BS-MPC guarantees (semiglobal) ultimate boundedness of the closed-loop system when the control is implemented in a zero-order hold manner. When the robustness of BS-MPC is analyzed for uniformly bounded disturbances, the ultimate boundedness of the solution of perturbed system is guaranteed. BS-MPC can provide a better desired value of the virtual input of the first step by solving the FHOCP, resulting in a faster stabilization of the system compared with the backstepping control. In addition, BS-MPC requires less computational load compared with MPC because the dimension of the states considered in the on-line optimization problem of BS-MPC is lower than that of MPC. (C) 2018 Elsevier Ltd. All rights reserved. | - |
dc.identifier.bibliographicCitation | JOURNAL OF PROCESS CONTROL, v.73, pp.137 - 146 | - |
dc.identifier.doi | 10.1016/j.jprocont.2018.12.007 | - |
dc.identifier.issn | 0959-1524 | - |
dc.identifier.scopusid | 2-s2.0-85059136449 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/81583 | - |
dc.identifier.wosid | 000460809800012 | - |
dc.language | 영어 | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.title | Backstepping control integrated with Lyapunov-based model predictive control | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems; Engineering, Chemical | - |
dc.relation.journalResearchArea | Automation & Control Systems; Engineering | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Backstepping control | - |
dc.subject.keywordAuthor | Model predictive control | - |
dc.subject.keywordAuthor | Input constraints | - |
dc.subject.keywordAuthor | Nonlinear systems | - |
dc.subject.keywordAuthor | Strict-feedback systems | - |
dc.subject.keywordAuthor | Stability analysis | - |
dc.subject.keywordPlus | NONLINEAR-SYSTEMS | - |
dc.subject.keywordPlus | DESIGN | - |
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