Changsheng Hua - Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
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- Book:Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
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- Publisher:Springer Vieweg
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- Year:2021
- City:Wiesbaden
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Reinforcement Learning Aided Performance Optimization of Feedback Control Systems: summary, description and annotation
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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.Changsheng Hua: author's other books
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