Rchr
J-GLOBAL ID:200901086537731117
Update date: Mar. 14, 2024
Kunimatsu Sadaaki
クニマツ サダアキ | Kunimatsu Sadaaki
Affiliation and department:
Job title:
Others
Research field (1):
Control and systems engineering
Research theme for competitive and other funds (4):
- 2020 - 2024 機械学習による高精度故障検出システムを用いるアクティブ型耐故障制御に関する研究
- 2017 - 2020 センサ・アクチュエータのオンライン保守を実現する耐故障制御を目指した研究
- 2013 - 2016 Research aimed at realization of true decentralized control based on PID type decentralized control using inverse problem of optimal control
- 2007 - 2008 Robust l∞ Preview Control and its Application to Biped Walking Pattern Generation of Humanoid Robots
Papers (68):
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Yongjie Yu, Kota Akaike, Sadaaki Kunimatsu, Ikuro Mizumoto. Adaptive anti-windup output feedback control for nonlinear systems and its stability analysis. Asian Journal of Control. 2024
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Hayata Saito, Minato Watanabe, Sadaaki Kunimatsu. A Trial on Detection of Failure Location Using Parameter Estimation via Deep Learning. Proceedings of the SICE Annual Conference 2023. 2023. 970-972
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Masatsugu Oyamada, Sadaaki Kunimatsu, Ikuro Mizumoto. Performance Prediction of Electric Motors via Deep Learning. IEEJ Journal of Industry Applications. 2023. 12. 2. 238-243
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Nozomu Otakara, Kota Akaike, Sadaaki Kunimatsu, Ikuro Mizumoto. Adaptive output feedback control with cerebellar model articulation controller-based adaptive PFC and feedforward input. SICE Journal of Control, Measurement, and System Integration. 2022. 15. 1. 48-61
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Masatsugu Oyamada, Sadaaki Kunimatsu, Ikuro Mizumoto. Performance Prediction of Electric Motors via Deep Learning. IEEJ Transactions on Industry Applications. 2022. 142. 11. 859-865
more...
MISC (23):
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渡辺港, 國松禎明, 水本郁朗. A Trial on Abnormal Location Estimation using Machine Learning for Low Order Controlled Model. 計測自動制御学会九州支部学術講演会予稿集(CD-ROM). 2023. 42nd
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小山田将亜, 國松禎明, 水本郁朗. Study of Generalization Performance Improvement via Cluster Centroids Movement Neural Network. 電気学会電子・情報・システム部門大会(Web). 2023. 2023
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服部恵海, 國松禎明, 水本郁朗, 小山田将亜, 吉武翔, 若杉直. Determination of Induction Motor’s Abnormal Electromagnetic Noise Generation Risk via Neural Network. 電気学会産業応用部門大会(CD-ROM). 2023. 2023
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國松 禎明. 「最適制御の実用設計法」(藤井隆雄,辻野太郎 共著). 計測と制御. 2016. 55. 4. 380-380
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Zeros of sampled-data models for linear systems with a singular decoupling matrix. 2015. 59. 4p
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Patents (2):
Books (1):
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倒立振子で学ぶ制御工学
森北出版 2017 ISBN:4627792212
Lectures and oral presentations (85):
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A Trial on Abnormal Location Estimation using Machine Learning for Low Order Controlled Model
(計測自動制御学会九州支部学術講演会予稿集(CD-ROM) 2023)
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Study of Generalization Performance Improvement via Cluster Centroids Movement Neural Network
(電気学会電子・情報・システム部門大会(Web) 2023)
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Determination of Induction Motor’s Abnormal Electromagnetic Noise Generation Risk via Neural Network
(電気学会産業応用部門大会(CD-ROM) 2023)
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機械学習によるパラメータ推定と故障箇所推定への応用に関する試み
(第41回計測自動制御学会九州支部学術講演会 2022)
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Performance Prediction of Rotating Machines Using Neural Network based on data clustering
(電気学会研究会資料(Web) 2021)
more...
Education (3):
- 2001 - 2005 Osaka University Graduate School of Engineering Science
- 1999 - 2001 Osaka University Graduate School of Engineering Science
- 1995 - 1999 Osaka University School of Engineering Science Direct Affiliates
Professional career (1):
- (BLANK) (Osaka University)
Work history (3):
- 2016/04 - 現在 Kumamoto University Unregistered
- 2007/04 - 2016/03 Kumamoto University Graduate School of Science and Technology
- 2005/04 - 2007/03 Osaka University Graduate School of Engineering Science
Awards (3):
- 2002 - 計測自動制御学会関西支部 奨励賞
- 2002 - システム制御情報学会 奨励賞
- 2002 - システム制御情報学会 砂原賞
Association Membership(s) (2):
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