| 书目名称 | Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation |
| 编辑 | Danwei Wang,Yongqiang Ye,Bin Zhang |
| 视频video | |
| 概述 | First book of iterative learning control (ILC) from frequency domain and sampled data methodologies.Summarizes the latest study of learning performance and learning stability.Maximizes reader insights |
| 丛书名称 | Advances in Industrial Control |
| 图书封面 |  |
| 描述 | This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. This is the first book of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors a |
| 出版日期 | Book 2014 |
| 关键词 | Frequency Domain Analysis; Frequency Domain Design; Iterative Learning Control; Iterative Learning Perf |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-4585-60-6 |
| isbn_softcover | 978-981-10-1353-9 |
| isbn_ebook | 978-981-4585-60-6Series ISSN 1430-9491 Series E-ISSN 2193-1577 |
| issn_series | 1430-9491 |
| copyright | Springer Science+Business Media Singapore 2014 |
发表于 2025-3-21 18:13:06
