System Identification (eBook)

A Frequency Domain Approach

Rik Pintelon, Johan Schoukens (Autoren)

eBook Download: PDF

2004 | 1. Auflage
648 Seiten
John Wiley & Sons (Verlag)
9780471660958 (ISBN)

Infos

Electrical Engineering System Identification A Frequency Domain
Approach How does one model a linear dynamic system from noisy
data? This book presents a general approach to this problem, with
both practical examples and theoretical discussions that give the
reader a sound understanding of the subject and of the pitfalls
that might occur on the road from raw data to validated model. The
emphasis is on robust methods that can be used with a minimum of
user interaction. Readers in many fields of engineering will gain
knowledge about:

* Choice of experimental setup and experiment design

* Automatic characterization of disturbing noise

* Generation of a good plant model

* Detection, qualification, and quantification of nonlinear
distortions

* Identification of continuous- and discrete-time models

* Improved model validation tools

and from the theoretical side about:

* System identification

* Interrelations between time- and frequency-domain
approaches

* Stochastic properties of the estimators

* Stochastic analysis

System Identification: A Frequency Domain Approach is written for
practicing engineers and scientists who do not want to delve into
mathematical details of proofs. Also, it is written for researchers
who wish to learn more about the theoretical aspects of the proofs.
Several of the introductory chapters are suitable for
undergraduates. Each chapter begins with an abstract and ends with
exercises, and examples are given throughout.

Autor

About the Authors Rik Pintelon and Johan Schoukens are professors of electrical engineering at the Vrije Universiteit Brussels, Brussels, Belgium. They share research interests in system identification, signal processing, and measurement techniques. They are the coauthors of a software package with a user-friendly graphical user interface called Frequency Domain System Identification Toolbox for Matlab(r), which covers the methods discussed in this book.

Inhalt

Preface.

Acknowledgments.

List of Operators and National Conventions.

List of Symbols.

List of Abbreviations.

An Introduction to Identification.

Measurements of Frequency Response Functions.

Frequency Response Function Measurements in the Presence of
Nonlinear Distortions.

Design of Excitation Signals.

Models of Linear Time-Invariant Systems.

An Intuitive Introduction to Frequency Domain Identification.

Estimation with Known Noise Model.

Estimation with Unknown Noise Model.

Model Selection and Validation.

Base Choices in System Identification.

Guidelines for the User.

Applications.

Some Linear Algebra Fundamentals.

Some Probability and Stochastic Convergence Fundamentals.

Properties of Least Squares Estimators with Deterministic
Weighting.

Properties of Least Squares Estimators with Stochastic
Weighting.

Identification of Semilinear Models.

Identification of Invariant of (Over) Parameterized Models.

References.

Subject Index.

Reference Index.

About the Authors.

Produkt-Details

• Erscheint lt. Verlag: 5.4.2004
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Naturwissenschaften
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: Control Systems Technology • Electrical & Electronics Engineering • Elektrotechnik • Elektrotechnik u. Elektronik • Regelungstechnik
• ISBN-13: 9780471660958 / 9780471660958