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Titlebook: Reinforcement Learning Aided Performance Optimization of Feedback Control Systems; Changsheng Hua Book 2021 The Editor(s) (if applicable)

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樓主
發(fā)表于 2025-3-21 19:39:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
編輯Changsheng Hua
視頻videohttp://file.papertrans.cn/826/825934/825934.mp4
圖書封面Titlebook: Reinforcement Learning Aided Performance Optimization of Feedback Control Systems;  Changsheng Hua Book 2021 The Editor(s) (if applicable)
描述.Changsheng Hua proposes two approaches, an input/output recovery approach and a performance index-based approach for robustness and performance optimization of feedback control systems. For their data-driven implementation in deterministic and stochastic systems, the author develops Q-learning and natural actor-critic (NAC) methods, respectively. Their effectiveness has been demonstrated by an experimental study on a brushless direct current motor test rig...The author:..Changsheng Hua. received the Ph.D. degree at the Institute of Automatic Control and Complex Systems (AKS), University of Duisburg-Essen, Germany, in 2020. His research interests include model-based and data-driven fault diagnosis and fault-tolerant techniques..
出版日期Book 2021
關(guān)鍵詞Fault-tolerant control; Robustness optimization; Q-learning; Actor-critic; Machine learning; Feedback Con
版次1
doihttps://doi.org/10.1007/978-3-658-33034-7
isbn_softcover978-3-658-33033-0
isbn_ebook978-3-658-33034-7
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies
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沙發(fā)
發(fā)表于 2025-3-21 23:45:17 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:09:22 | 只看該作者
Changsheng Hua Management vorzunehmen. Ausgangspunkt dieser Selbstverortung ist die Beobachtung in letzter Zeit, dass Nachhaltigkeit sich nicht einmal über die vorauseilende Codierung des Problems in der Kosten- und Ertragssprache von Unternehmen als anschlussf?hig erweist. Die rein rhetorischen Antworten der Unt
地板
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發(fā)表于 2025-3-23 04:25:54 | 只看該作者
NAC Aided Performance Optimization of Stochastic Systems,ormance index based methods. For data-driven implementation we develop new data-efficient approaches using both the plant model and real-time data. The closed-loop stability during online learning is also discussed.
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發(fā)表于 2025-3-23 08:52:21 | 只看該作者
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