| 书目名称 | Iterative Learning Control for Systems with Iteration-Varying Trial Lengths | | 副标题 | Synthesis and Analys | | 编辑 | Dong Shen,Xuefang Li | | 视频video | | | 概述 | Offers a comprehensive discussion of iterative learning control (ILC) under iteration-varying lengths, an emerging new topic.Proposes various synthesis and analysis techniques for ILC for linear and n | | 图书封面 |  | | 描述 | .This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might randomly vary from iteration to iteration. The iteration-varying trial lengths may be different from the desired trial length, which can cause redundancy or dropouts of control information in ILC, making ILC design a challenging problem. The book focuses on the synthesis and analysis of ILC for both linear and nonlinear systems with iteration-varying trial lengths, and proposes various novel techniques to deal with the precise tracking problem under non-repeatable trial lengths, such as moving window, switching system, and searching-based moving average operator. It not only discusses recent advances in ILC for systems with iteration-varying trial lengths, but also includes numerousintuitive figures to allow readers to develop an in-depth understanding of the intrinsic relationship between the incomplete information environment and the essential tracking performance. This book is intende | | 出版日期 | Book 2019 | | 关键词 | Iterative Learning Control; Iteration-Varying Lengths; Algorithm Design; Convergence Analysis; Incomplet | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-13-6136-4 | | isbn_ebook | 978-981-13-6136-4 | | copyright | Springer Nature Singapore Pte Ltd. 2019 |
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发表于 2025-3-21 17:21:05
