Code: 35408279
Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
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 dete ... more
- Language:
English - Binding: Paperback
- Number of pages: 127
Publisher: Springer Fachmedien Wiesbaden, 2021
- More about this
102.11 €
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Book synopsis
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.
Book details
Book category Książki po niemiecku Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik
102.11 €
- Full title: Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
- Language: English
- Binding: Paperback
- Number of pages: 127
- EAN: 9783658330330
- ISBN: 3658330333
- ID: 35408279
- Publisher: Springer Fachmedien Wiesbaden
- Weight: 454 g
- Dimensions: 210 × 148 × 9 mm
- Date of publishing: 04. March 2021
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