System Identification : An Introduction
System Identification: an Introduction shows the (student) reader how to approach the system identification problem in a systematic fashion. Essentially, system identification is an art of modelling, where appropriate choices have to be made concerning the level of approximation, given prior system...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Phiên bản: | 1st ed. 2011. |
| Loạt: | Advanced Textbooks in Control and Signal Processing
|
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • System Identification, Texte imprimé, 9780857295231 • System identification, an introduction, Karel J. Keesman, London, Springer, 2011, 1 vol. (XXVI-323 p.), Advanced textbooks in control and signal processing, 978-0-85729-521-7 |
Mục lục:
- Introduction Part I: Data-based Identification System Response Methods Frequency Response Methods Correlation Methods Part II: Time-invariant Systems Identification Static Systems Identification Dynamic Systems Identification Part III: Time-varying Systems Identification Time-varying Static Systems Identification Time-varying Dynamic Systems Identification Part IV: Model Validation Model Validation Techniques Part V: Appendices: Matrix Algebra; Statistics; Laplace, Fourier and z-Transforms; Bode Diagrams; Shift Operator Calculus; Recursive Least-squares Derivation; Dissolved Oxygen Data.