Inhaltsverzeichnis
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)
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