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Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
Changsheng Hua
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.Are you curious to discover the likelihood of your enjoyment of "Reinforcement Learning Aided Performance Optimization of Feedback Control Systems" by Changsheng Hua? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.