京都大学 / 新制・課程博士 / 博士(情報学) / 甲第24263号 / 情博第807号 / 新制||情||136(附属図書館) / 京都大学大学院情報学研究科数理工学専攻 / (主査)准教授 加嶋 健司, 教授 太田 快人, 教授 山下 信雄 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DGAM
| Identifer | oai:union.ndltd.org:kyoto-u.ac.jp/oai:repository.kulib.kyoto-u.ac.jp:2433/277406 |
| Date | 26 September 2022 |
| Creators | Ito, Kaito |
| Contributors | 伊藤, 海斗, イトウ, カイト |
| Publisher | Kyoto University, 京都大学 |
| Source Sets | Kyoto University |
| Language | English |
| Detected Language | English |
| Type | doctoral thesis, Thesis or Dissertation |
| Rights | 学位規則第9条第2項により要約公開, K. Ito and K. Kashima, ``Sinkhorn MPC: Model predictive optimal transport over dynamical systems, '' in 2022 American Control Conference, pp.2057-2062, 2022. (Chapter 5) Ⓒ 2022 IEEE. In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Kyoto University's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink. If applicable, University Microfilms and/or ProQuest Library, or the Archives of Canada may supply single copies of the dissertation. |
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