Proximate model predictive control strategy for autonomous vehicle lateral control
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Seung-Hi | - |
dc.contributor.author | Lee, Young Ok | - |
dc.contributor.author | Kim, Bo-Ah | - |
dc.contributor.author | Chung, Chung Choo | - |
dc.date.accessioned | 2022-07-16T13:25:23Z | - |
dc.date.available | 2022-07-16T13:25:23Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2012-10 | - |
dc.identifier.issn | 0743-1619 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164512 | - |
dc.description.abstract | A proximate model predictive control strategy is proposed applied to autonomous vehicle lateral control. A simple and fast method to compute an approximate optimal solution is developed from the interpolation between the pre-computed optimal solutions, which is used for warm-start on-line optimization to reduce iterations in finding optimal solutions. The proposed proximate model prediction control exhibits proximate optimality in very few on-line iterations, which can become arbitrarily close to its optimality with further iterations. The results of computational and real-time experiments for autonomous vehicle lateral control demonstrate the utility of the proposed proximate model predictive control. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Proximate model predictive control strategy for autonomous vehicle lateral control | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Chung Choo | - |
dc.identifier.doi | 10.1109/ACC.2012.6315465 | - |
dc.identifier.scopusid | 2-s2.0-84869481703 | - |
dc.identifier.bibliographicCitation | Proceedings of the American Control Conference, pp.3605 - 3610 | - |
dc.relation.isPartOf | Proceedings of the American Control Conference | - |
dc.citation.title | Proceedings of the American Control Conference | - |
dc.citation.startPage | 3605 | - |
dc.citation.endPage | 3610 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Approximate optimal solutions | - |
dc.subject.keywordPlus | Autonomous Vehicles | - |
dc.subject.keywordPlus | Fast methods | - |
dc.subject.keywordPlus | Model prediction | - |
dc.subject.keywordPlus | Model predictive | - |
dc.subject.keywordPlus | Online optimization | - |
dc.subject.keywordPlus | Optimal solutions | - |
dc.subject.keywordPlus | Optimality | - |
dc.subject.keywordPlus | Real-time experiment | - |
dc.subject.keywordPlus | Model predictive control | - |
dc.subject.keywordPlus | Optimal systems | - |
dc.subject.keywordPlus | Optimization | - |
dc.subject.keywordPlus | Predictive control systems | - |
dc.identifier.url | https://ieeexplore.ieee.org/abstract/document/6315465 | - |
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