| 研究課題/領域番号 |
22KK0155
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| 研究種目 |
国際共同研究加速基金(国際共同研究強化(B))
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| 配分区分 | 基金 |
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| 審査区分 |
中区分60:情報科学、情報工学およびその関連分野
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| 研究機関 | 大阪公立大学 |
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研究代表者 |
蔡 凱 大阪公立大学, 大学院情報学研究科, 教授 (20728266)
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| 研究分担者 |
河野 佑 広島大学, 先進理工系科学研究科(工), 准教授 (40743034)
プルエクプラサート サシニー 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員 (50814795)
橋本 和宗 大阪大学, 大学院工学研究科, 講師 (60883361)
永原 正章 北九州市立大学, 環境技術研究所, 教授 (90362582)
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| 研究期間 (年度) |
2022-10-07 – 2026-03-31
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| 研究課題ステータス |
交付 (2022年度)
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| 配分額 *注記 |
20,280千円 (直接経費: 15,600千円、間接経費: 4,680千円)
2025年度: 5,720千円 (直接経費: 4,400千円、間接経費: 1,320千円)
2024年度: 5,980千円 (直接経費: 4,600千円、間接経費: 1,380千円)
2023年度: 5,980千円 (直接経費: 4,600千円、間接経費: 1,380千円)
2022年度: 2,600千円 (直接経費: 2,000千円、間接経費: 600千円)
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| キーワード | Cyber-physical systems / discrete-event systems / safe control / privacy awareness / resource efficiency / networked systems / multi-agent systems / control systems / Safe control / Privacy awareness / Resource efficiency / Discrete-event systems |
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| 研究開始時の研究の概要 |
With rapidly advancing digital technologies, cyber-physical systems (CPS) have emerged as the dominating paradigm for today’s large-scale complex engineering systems. This research aims to develop a comprehensive design framework that provides systematic solutions to core control problems in CPS.
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| 研究実績の概要 |
In the first (half) year, the following new results have been achieved.
1. Safe control: A new learning-based symbolic abstraction method has been developed for safe control of continuous-time systems.
2. Resource efficient control: A novel method called risk-aware maximum hands-off control has been developed for efficient control of stochastic systems to minimize risks of entering unsafe regions. In addition, surveys on sparse control and distributed control of continuous-time systems are conducted.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
In the first (half) year (2022.10-2023.03), we have achieved 5 journal paper publications, 1 conference proceeding paper, and 1 book publication. In addition, we have actively contacted our collaborators in oversea universities, and thereby we have made travel plans in 2024 to visit oversea universities to directly conduct research collaborations with our hosts.
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| 今後の研究の推進方策 |
We are going to develop new methods for safe control (Co-PI Hashimoto and PI), for privacy-aware control (Co-PI Pruekprasert, Co-PI Kawano, and PI), and resource efficient control (Co-PI Hashimoto and Co-PI Nagahara). These research activities will be done in direct collaborations with our oversea hosts, by visiting them in person as well as online. We have already scheduled several visits to our host institutions in 2024.
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