Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
Author | : Changsheng Hua |
Publisher | : Springer Nature |
Total Pages | : 139 |
Release | : 2021-03-03 |
ISBN-10 | : 9783658330347 |
ISBN-13 | : 3658330341 |
Rating | : 4/5 (47 Downloads) |
Download or read book Reinforcement Learning Aided Performance Optimization of Feedback Control Systems written by Changsheng Hua and published by Springer Nature. This book was released on 2021-03-03 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.