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Methods for Machine Learning Assisted Reliable Control Design / 機械学習を用いた制御設計と信頼性保証

京都大学 / 新制・課程博士 / 博士(情報学) / 甲第25437号 / 情博第875号 / 新制||情||146(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 山下 信雄, 教授 大塚 敏之 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DGAM

Identiferoai:union.ndltd.org:kyoto-u.ac.jp/oai:repository.kulib.kyoto-u.ac.jp:2433/288871
Date25 March 2024
CreatorsMoriyasu, Ryuta
Contributors森安, 竜大, モリヤス, リュウタ
PublisherKyoto University, 京都大学
Source SetsKyoto University
LanguageEnglish
Detected LanguageEnglish
Typedoctoral thesis, Thesis or Dissertation
Rights学位規則第9条第2項により要約公開, "Structured Hammerstein-Wiener model learning for model predictive control", DOI:10.1109/LCSYS.2021.3077201 ??2021 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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