Reinforcement Learning Aided Performance Optimization of Feedback Control Systems

By Changsheng Hua

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3658330333
• ISBN13: 9783658330330
• Release Date: March 2021
• Publisher: Springer Vieweg
• Length: 127 Pages
• Weight: 0.44 lbs.
• Dimensions: 0.3" x 5.8" x 8.3"