| 書(shū)目名稱 | Reinforcement Learning Aided Performance Optimization of Feedback Control Systems |
| 編輯 | Changsheng Hua |
| 視頻video | http://file.papertrans.cn/826/825934/825934.mp4 |
| 圖書(shū)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 |
| 關(guān)鍵詞 | 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 |
|Archiver|手機(jī)版|小黑屋|
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