Reinforcement Learning Aided Performance Optimization of Feedback Control Systems

✍ Scribed by Changsheng Hua

Publisher: Springer Vieweg
Year: 2021
Tongue: English
Leaves: 148
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

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