| 书目名称 | System Identification |
| 副标题 | An Introduction |
| 编辑 | Karel J. Keesman |
| 视频video | |
| 概述 | Uses a practical example-based approach to show students how identification really works.Teaches students the fundamentals of systems identification without unduly complicated mathematics.On-line solu |
| 丛书名称 | Advanced Textbooks in Control and Signal Processing |
| 图书封面 |  |
| 描述 | .System Identification shows the student reader how to approach the system identification problem in a systematic fashion. The process is divided into three basic steps: experimental design and data collection; model structure selection and parameter estimation; and model validation, each of which is the subject of one or more parts of the text. .Following an introduction on system theory, particularly in relation to model representation and model properties, the book contains four parts covering:.• data-based identification – non-parametric methods for use when prior system knowledge is very limited;.• time-invariant identification for systems with constant parameters;.• time-varying systems identification, primarily with recursive estimation techniques; and.• model validation methods..A fifth part, composed of appendices, covers the various aspects of the underlying mathematics needed to begin using the text..The book uses essentially semi-physical or gray-box modeling methods although data-based, transfer-function system descriptions are also introduced. The approach is problem-based rather than rigorously mathematical. The use of finite input–output data is demonstrated for fre |
| 出版日期 | Textbook 2011 |
| 关键词 | Control Applications; Control Engineering; Dynamic Systems; Parameter Estimation; Parameter Estimation T |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-85729-522-4 |
| isbn_softcover | 978-0-85729-521-7 |
| isbn_ebook | 978-0-85729-522-4Series ISSN 1439-2232 Series E-ISSN 2510-3814 |
| issn_series | 1439-2232 |
| copyright | Springer-Verlag London Limited 2011 |
发表于 2025-3-21 16:16:52
