Reinforcement Learning Aided Performance Optimization of Feedback Control Systems Paperback / softback
by Changsheng Hua
Paperback / softback
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Description
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.
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:127 pages, 53 Illustrations, black and white; XIX, 127 p. 53 illus.
- Publisher:Springer Fachmedien Wiesbaden
- Publication Date:04/03/2021
- Category:
- ISBN:9783658330330
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Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:127 pages, 53 Illustrations, black and white; XIX, 127 p. 53 illus.
- Publisher:Springer Fachmedien Wiesbaden
- Publication Date:04/03/2021
- Category:
- ISBN:9783658330330