| 书目名称 | Reinforcement Learning |
| 副标题 | Optimal Feedback Con |
| 编辑 | Jinna Li,Frank L. Lewis,Jialu Fan |
| 视频video | |
| 概述 | Systematic, easy-to-follow introduction of novel ideas in data-driven optimal control.Uses measured data in examples to show how methods really work.Illustrates the practical application of novel algo |
| 丛书名称 | Advances in Industrial Control |
| 图书封面 |  |
| 描述 | .This book offers a thorough introduction to the basics and scientific and technological innovations involved in the modern study of reinforcement-learning-based feedback control. The authors address a wide variety of systems including work on nonlinear, networked, multi-agent and multi-player systems... ..A concise description of classical reinforcement learning (RL), the basics of optimal control with dynamic programming and network control architectures, and a brief introduction to typical algorithms build the foundation for the remainder of the book. Extensive research on data-driven robust control for nonlinear systems with unknown dynamics and multi-player systems follows. Data-driven optimal control of networked single- and multi-player systems leads readers into the development of novel RL algorithms with increased learning efficiency. The book concludes with a treatment of how these RL algorithms can achieve optimal synchronization policies for multi-agentsystems with unknown model parameters and how game RL can solve problems of optimal operation in various process industries. Illustrative numerical examples and complex process control applications emphasize the realistic |
| 出版日期 | Book 2023 |
| 关键词 | Reinforcement Learning for Optimal Control; Process Engineering; Adaptive Dynamic Programming; Data-dri |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-28394-9 |
| isbn_softcover | 978-3-031-28396-3 |
| isbn_ebook | 978-3-031-28394-9Series ISSN 1430-9491 Series E-ISSN 2193-1577 |
| issn_series | 1430-9491 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 19:19:27
