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- Author: Changsheng Hua
- Publisher: Springer Vieweg
- ISBN-10: 3658330333
- ISBN-13: 9783658330330
- Format: 14.8 x 21 x 0.9 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Reinforcement Learning Aided Performance Optimization of Feedback Control Systems (e-book) (used book) | bookbook.eu
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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.EXTRA 10 % discount with code: EXTRA
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- Author: Changsheng Hua
- Publisher: Springer Vieweg
- ISBN-10: 3658330333
- ISBN-13: 9783658330330
- Format: 14.8 x 21 x 0.9 cm, softcover
- Language: English 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.
Reviews