System Identification: A Frequency Domain Approach

ISBN-13: 9780470640371 / Angielski / Twarda / 2012 / 788 str.

Rik Pintelon; Johan Schoukens; R. Pintelon

Opis

This book is focused on modeling of linear dynamic systems. These models can be continuous-time or discrete-time. In both cases, the model can be written as a rational form in a generalized frequency variable. The aim of the book is to identify the parameters of these rational forms starting from noisy measurements of the input and output signals.

Spis treści

Preface to the First Edition

Preface to the Second Edition

Acknowledgments

List of Operators and Notational Conventions

List of Symbols

List of Abbreviations

Chapter 1 An Introduction to Identification

Chapter 2 Measurement of Frequency Response Functions Standard Solutions

Chapter 3 Frequency Response Function Measurements in the Presence of Nonlinear Distortions

Chapter 4 Detection, Quantification, and Qualification of Nonlinear Distortions in FRF Measurements

Chapter 5 Design of Excitation Signals

Chapter 6 Models of Linear Time–Invariant Systems

Chapter 7 Measurement of Frequency Response Functions The Local Polynomial Approach

Chapter 8 An Intuitive Introduction to Frequency Domain Identification

Chapter 9 Estimation with Know Noise Model

Chapter 10 Estimation with Unknown Noise Model Standard Solutions

Chapter 11 Model Selection and Validation

Chapter 12 Estimation with Unknown Noise Model The Local Polynomial Approach

Chapter 13 Basic Choices in System Identification

Chapter 14 Guidelines for the User

Chapter 15 Some Linear Algebra Fundamentals

Chapter 16 Some Probability and Stochastic Convergence Fundamentals

Chapter 17 Properties of Least Squares Estimators with Deterministic Weighting

Chapter 18 Properties of Least Squares Estimators with Stochastic Weighting

Chapter 19 Identification of Semilinear Models

Chapter 20 Identification of Invariants of (Over) Parameterized Models

References

Subject Index

Author Index

About the Authors

O autorze

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).

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.

Blurb

System identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Used for prediction, control, physical interpretation, and the designing of any electrical systems, they are vital in the fields of electrical, mechanical, civil, and chemical engineering.

Focusing mainly on frequency domain techniques, System Identification: A Frequency Domain Approach, Second Edition also studies in detail the similarities and differences with the classical time domain approach. It high??lights many of the important steps in the identification process, points out the possible pitfalls to the reader, and illustrates the powerful tools that are available.

Readers of this Second Editon will benefit from:

• MATLAB software support for identifying multivariable systems that is freely available at the website http://booksupport.wiley.com

• State–of–the–art system identification methods for both time and frequency domain data

• New chapters on non–parametric and parametric transfer function modeling using (non–)period excitations

• Numerous examples and figures that facilitate the learning process

• A simple writing style that allows the reader to learn more about the theo??retical aspects of the proofs and algorithms

Unlike other books in this field, System Identification, Second Edition is ideal for practicing engineers, scientists, researchers, and both master′s and PhD students in electrical, mechanical, civil, and chemical engineering.