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portada Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
Type
Physical Book
Publisher
Author
Language
English
Pages
127
Format
Paperback
ISBN13
9783658330330
Edition No.
1

Reinforcement Learning Aided Performance Optimization of Feedback Control Systems

Changsheng Hua (Author) · Springer Vieweg · Paperback

Reinforcement Learning Aided Performance Optimization of Feedback Control Systems - Changsheng Hua

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Synopsis "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 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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