| 书目名称 | Sampled-Data Models for Linear and Nonlinear Systems |
| 编辑 | Juan I. Yuz,Graham C. Goodwin |
| 视频video | |
| 概述 | Coverage of stochastic, deterministic, linear and nonlinear systems provides the reader with treatment of sampled-data systems of unparalleled breadth.Clears up and corrects many common misconceptions |
| 丛书名称 | Communications and Control Engineering |
| 图书封面 |  |
| 描述 | .Sampled-data Models for Linear and Nonlinear Systems. provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern sampling rates being as high as they are, it is becoming more appropriate to emphasise connections and similarities. The text is driven by three motives:.· the ubiquity of computers in modern control and signal-processing equipment means that sampling of systems that really evolve continuously is unavoidable;.· although superficially straightforward, sampling can easily produce erroneous results when not treated properly; and.· the need for a thorough understanding of many aspects of sampling among researchers and engineers dealing with applications to which they are central..The authors tackle many misconceptions which, although appearing reasonable at first sight, are in fact either partially or completely erroneous. They also deal with linear and nonlinear, deterministic and stochastic cases. The impact of the ideas presented on several standard problems in signals and systems is illust |
| 出版日期 | Book 2014 |
| 关键词 | Data Sampling; Discrete Models; Nonlinear Systems; Sampled-data Systems; Stochastic Systems |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-5562-1 |
| isbn_softcover | 978-1-4471-6997-0 |
| isbn_ebook | 978-1-4471-5562-1Series ISSN 0178-5354 Series E-ISSN 2197-7119 |
| issn_series | 0178-5354 |
| copyright | Springer-Verlag London 2014 |
发表于 2025-3-21 16:08:27
