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Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
  • Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
Reinforcement Learning Aided Performance Optimization of Feedback Control Systems

Reinforcement Learning Aided Performance Optimization of Feedback Control Systems

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Reinforcement Learning Aided Performance Optimization of Feedback Control Systems

Hua, Changsheng

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.

Details

Published by: Springer Vieweg

Publication Date: 2021-03-04

Format: Paperback

ISBN-13: 9783658330330

DOI: 10.1007/978-3-658-33034-7

Dimensions: 210cm x148cm

Pages: 127

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