| 书目名称 | Iterative Learning Control |
| 副标题 | An Optimization Para |
| 编辑 | David H. Owens |
| 视频video | |
| 概述 | Low-order worked examples aid in the understanding of the basic principles and computational processes of algorithm design.Computational and application studies illustrate performance and help to iden |
| 丛书名称 | Advances in Industrial Control |
| 图书封面 |  |
| 描述 | .This book develops a coherent and quite general theoretical approach to algorithm design for iterative learning control based on the use of operator representations and quadratic optimization concepts including the related ideas of inverse model control and gradient-based design..Using detailed examples taken from linear, discrete and continuous-time systems, the author gives the reader access to theories based on either signal or parameter optimization. Although the two approaches are shown to be related in a formal mathematical sense, the text presents them separately as their relevant algorithm design issues are distinct and give rise to different performance capabilities. .Together with algorithm design, the text demonstrates the underlying robustness of the paradigm and also includes new control laws that are capable of incorporating input and output constraints, enable the algorithm to reconfigure systematically in order to meet the requirements of different reference and auxiliary signals and also to support new properties such as spectral annihilation.. .Iterative Learning Control. will interest academics and graduate students working in control who will find it a useful r |
| 出版日期 | Book 2016 |
| 关键词 | Control Applications; Control Engineering; Control Theory; Iterative Learning Control; Parameter Optimiz |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-6772-3 |
| isbn_softcover | 978-1-4471-6928-4 |
| isbn_ebook | 978-1-4471-6772-3Series ISSN 1430-9491 Series E-ISSN 2193-1577 |
| issn_series | 1430-9491 |
| copyright | Springer-Verlag London 2016 |
发表于 2025-3-21 16:50:00
