Identification of Dynamic Systems
Springer Berlin (Verlag)
978-3-540-78878-2 (ISBN)
After a short introduction into the required methodology of continuous-time and discrete-time linear systems, the focus is first on the identification of non-parametric models with continuous-time signals employing methods such as Fourier transform, measurement of the frequency response and correlation analysis. Then, the parameter estimation for parametric models is presented with a focus on the method of Least Squares, followed by some of its most prominent modifications. Issues such as parameter estimation for time-variant processes, parameter estimation in closed-loop, parameter estimation for differential equations, continuous time processes and efficient implementations of the algorithms are discussed. The different methods are compared and an outlook is given on non-linear system identification methods, such as neural networks and look-up tables.
Real experimental data are given on CD-ROM, allowing to test many of the methods presented in the book with real measurements. Powerpoint slides for a 12-14 week graduate level course can be made available to teachers.
Prof. Dr.-Ing. Rolf Isermann leitet das Fachgebiet Regelungstechnik und Prozessautomatisierung im Institut für Automatisierungstechnik der TU Darmstadt. Seine Arbeit für die Mechatronik wurde mit dem Top Ten Award des renommierten MIT (Massachusetts Institute of Technology ) ausgezeichnet.
Introduction .- Mathematical Models of Linear Dynamic Systems and Stochastic Signals
Part I: Identification of Non-Parametric Models in the Frequency Domain - Continuous Time Signals
Part II: Identification with Non-Parametric Models - Continuous and Discrete Time
Part III: Identification with Parametric Models - Discrete Time Signals
Part IV: Identification with Parametric Models - Continuous Time Signals
PartV: Identification of Multi-Variable Systems
Part VI: Identification of Non-Linear Systems
Part VII: Miscellaneous Issues
Part VIII Applications
Part IX Appendix.
From the reviews:
"The book being reviewed may serve as a useful entry guidebook to the assembling of mathematical models for actual physical systems, some of which are even pictured. The gamut of problems that the book's material addresses is illustrated, over about seventy-five pages, with fifteen concrete examples ... . One remarkable feature of the book is an effort made to help the reader in the process of choice of models and methods through overview tables and diagrams." (A. F. Gualtierotti, Mathematical Reviews, Issue 2011 m)
"The book presents a broad spectrum of methods and approaches to dynamic system identification in a simple and unified manner. ... Each chapter is completed with a set of problems to be solved by the reader and a list of references. The book can be recommended as a good overview of contemporary parametric system identification techniques." (Zygmunt Hasiewicz, Zentralblatt MATH, Vol. 1230, 2012)
| Erscheint lt. Verlag | 4.12.2010 |
|---|---|
| Zusatzinfo | XXV, 705 p. With Based on the book: Isermann: Identifikation dynamischer Systeme 1, 2. With online files/update. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1195 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Complexity • Dynamisches System • Dynamische Systeme • Frequency Response • linear systems • Nonlinear Systems • Parameter Estimation • System Identification |
| ISBN-10 | 3-540-78878-6 / 3540788786 |
| ISBN-13 | 978-3-540-78878-2 / 9783540788782 |
| Zustand | Neuware |
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