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Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
Paperback
General ComputersProbability & Statistics
ISBN13: 9783658330330
Publisher: Springer Vieweg
Published: Mar 4 2021
Pages: 127
Weight: 0.44
Height: 0.34 Width: 5.83 Depth: 8.27
Language: English
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.Also in
General Computers
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