Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
1st ed. 2021
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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.Get Reinforcement Learning Aided Performance Optimization of Feedback Control Systems by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Fachmedien Wiesbaden and it has pages.
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