Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
Paperback 148 pages English March 04, 2021
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Springer Vieweg
Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
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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.
- Author:
- Changsheng Hua
- Publisher:
- Springer Vieweg
- Publication Date:
- March 04, 2021
- Number of pages:
- 148 pages
- Language:
- English
- Binding:
- Paperback
- ISBN-10:
- 3658330333
- ISBN-13:
- 9783658330330