书目名称 | Reinforcement Learning Aided Performance Optimization of Feedback Control Systems | 编辑 | Changsheng Hua | 视频video | http://file.papertrans.cn/826/825934/825934.mp4 | 图书封面 |  | 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 | 关键词 | Fault-tolerant control; Robustness optimization; Q-learning; Actor-critic; Machine learning; Feedback Con | 版次 | 1 | doi | https://doi.org/10.1007/978-3-658-33034-7 | isbn_softcover | 978-3-658-33033-0 | isbn_ebook | 978-3-658-33034-7 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies |
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