| 书目名称 | Discrete-Time Adaptive Iterative Learning Control |
| 副标题 | From Model-Based to |
| 编辑 | Ronghu Chi,Na Lin,Ruikun Zhang |
| 视频video | |
| 概述 | Focuses on discrete-time adaptive iterative learning control (DAILC).Proposes systematic procedures for design and analysis of model-based DAILC for parametric systems.Proposes systematic procedures f |
| 丛书名称 | Intelligent Control and Learning Systems |
| 图书封面 |  |
| 描述 | This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-repetitive uncertainties in practical applications. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory. To overcome the extreme difficulties in modeling a complex system, the data-driven DAILC methods are further discussed by building a linear parametric data mapping between two consecutive iterations. Other significant improvements and extensions of the model-based/data-driven DAILC are also studied to facilitate broader applications. The readers can learn the recent progress on DAILC with consideration of various applications. This book is intended for academic scholars, engineers and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields. |
| 出版日期 | Book 2022 |
| 关键词 | Iterative Learning Control; Adaptive Iterative Learning Control; Terminal Iterative Learning Control; D |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-19-0464-6 |
| isbn_softcover | 978-981-19-0466-0 |
| isbn_ebook | 978-981-19-0464-6Series ISSN 2662-5458 Series E-ISSN 2662-5466 |
| issn_series | 2662-5458 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
发表于 2025-3-21 19:16:19
