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j.ifacol.2018.11.058.pdf | 550.7 kB | Adobe PDF | 見る/開く |
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DCフィールド | 値 | 言語 |
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dc.contributor.author | Deng, Haoyang | en |
dc.contributor.author | Ohtsuka, Toshiyuki | en |
dc.contributor.alternative | 大塚, 敏之 | ja |
dc.date.accessioned | 2018-11-30T06:59:33Z | - |
dc.date.available | 2018-11-30T06:59:33Z | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 2405-8963 | - |
dc.identifier.uri | http://hdl.handle.net/2433/235489 | - |
dc.description | 6th IFAC Conference on Nonlinear Model Predictive Control NMPC 2018. Madison, Wisconsin, USA, 19–22 August 2018. | en |
dc.description.abstract | We propose a highly parallelizable Newton-type method for nonlinear model predictive control by exploiting the particular structure of the associated Karush-Kuhn-Tucker conditions. These equations are approximately decoupled into single step subproblems along the prediction horizon for parallelization. The coupling variable of each subproblem is approximated toward its optimal value by a simple but effective method in every iteration. The proposed algorithm is applied to control a quadrotor. The numerical simulation results show that the proposed algorithm is highly parallelizable and converges with only a few iterations even to a high accuracy. The proposed method is also shown to be faster compared with several state-of-the-art algorithms. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Elsevier B.V. | en |
dc.rights | © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ . This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 | en |
dc.subject | Nonlinear model predictive control | en |
dc.subject | parallel algorithm | en |
dc.subject | real-time algorithm | en |
dc.title | A Highly Parallelizable Newton-type Method for Nonlinear Model Predictive Control⁎ | en |
dc.type | conference paper | - |
dc.type.niitype | Conference Paper | - |
dc.identifier.jtitle | IFAC-PapersOnLine | - |
dc.identifier.volume | 51 | - |
dc.identifier.issue | 20 | - |
dc.identifier.spage | 349 | - |
dc.identifier.epage | 355 | - |
dc.relation.doi | 10.1016/j.ifacol.2018.11.058 | - |
dc.textversion | author | - |
dc.address | Department of Systems Science, Graduate School of Informatics, Kyoto University | en |
dc.address | Department of Systems Science, Graduate School of Informatics, Kyoto University | en |
dcterms.accessRights | open access | - |
datacite.awardNumber | 15H02257 | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName.alternative | Japan Society for the Promotion of Science (JSPS) | en |
出現コレクション: | 学術雑誌掲載論文等 |
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