Mastering System Identification in 100 Exercises - Brossura

Schoukens, Johan

Brossura

ISBN 10: 0470936983 ISBN 13: 9780470936986

Casa editrice: Wiley-IEEE Press, 2012

Riassunto

This book enables readers to understand system identification and linear system modeling through 100 practical exercises without requiring complex theoretical knowledge. The contents encompass state-of-the-art system identification methods, with both time and frequency domain system identification methods covered, including the pros and cons of each. Each chapter features MATLAB exercises, discussions of the exercises, accompanying MATLAB downloads, and larger projects that serve as potential assignments in this learn-by-doing resource.

Su questo libro

Recensione:

System identification is a very important topic for both off-line simulation studies and also on-line control applications, in particular for non-linear systems whose parameters change with the operating conditions.
 
The book "Mastering System Identification in 100 Exercises" does a thorough job of explaining and illustrating the system identification theory and its application in modeling systems for off-line simulation studies. The major emphasis of the book is on frequency domain models, that are well suited for off-line studies, and also as the authors say, "is partly due to the authors' background and experience". A small part of the book is devoted to time-domain modeling.
 
The one hundred exercises are arranged in 7 Chapters. Chapter 1 provides a basic introduction to the mathematical techniques commonly used in parameter estimation, with the type of signals, random or periodic, introduced in Chapter 2. Measurement of frequency response functions, excitation signals and noise estimation are introduced by the exercises in Chapter 3. With this background, the reader is equipped to estimate the plant and noise dynamics for linear systems in Chapter 4. Noise plays a significant part in estimation practice and a good deal of attention is devoted to noise characterization and estimation. These and related aspects, including the linear approximation of non-linear systems, are extensively covered in the following two chapters, i.e. Chapters 5 and 6. Identification of parameters with non-linearities is illustrated by the exercises in Chapter 7.
 
The exercises given in the book are supported by solutions using MATLAB programs.
 
The noise in measurements used to estimate a system model is given a thorough treatment in the book. For a reader not conversant with estimation theory, the book provides a gradual and well organized approach starting from basic to more advanced problem solution.
 
As mentioned above, on-line system model identification for real-time control is also a very important topic. Such identification, done primarily in time domain, also has the added constraint of limited time for computation in real-time. The standard off-line identification procedures need significant modifications to make them suitable for real-time application. That aspect of system identification is missing from this book as it is primarily devoted to model identification for off-line simulation studies. It would have been desirable to indicate that somehow in the title.
 
- Professor Om Malik, University of Calgary

L'autore:

Johan Schoukens, PhD, serves as a full-time professor in the ELEC Department at the Vrije Universiteit Brussel. He has been a Fellow of IEEE since 1997 and was the recipient of the 2003 IEEE Instrumentation and Measurement Society Distinguished Service Award.

Rik Pintelon, PhD, serves as a full-time professor at the Vrije Universiteit Brussel in the ELEC Department. He has been a Fellow of IEEE since 1998 and is the recipient of the 2012 IEEE Joseph F. Keithley Award in Instrumentation and Measurement (IEEE Technical Field Award).

Yves Rolain, PhD, serves as a full-time professor at the Vrije Universiteit Brussel in the ELEC department. He has been a Fellow of IEEE since 2006 and was the recipient of the 2004 IEEE Instrumentation and Measurement Society Technical Award.

Su questa edizione

• Editore: Wiley-IEEE Press
• Data di pubblicazione: 2012
• ISBN 10: 0470936983
• ISBN 13: 9780470936986
• Rilegatura: Paperback
• Numero edizione: 1
• Numero di pagine: 281