System Identification: A Frequency Domain Approach

Framsida
John Wiley & Sons, 19 mars 2012 - 788 sidor

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.

 

Innehåll

An Introduction to Identification
1
Measurement of Frequency Response Functions Standard
33
Frequency Response Function Measurements in the Presence
73
Detection Quantification and Qualification of Nonlinear
119
Design of Excitation Signals
151
Models of Linear TimeInvariant Systems
177
Measurement of Frequency Response Functions The Local
225
An Intuitive Introduction to Frequency Domain
279
Appreciation of the Facts
509
Time and Frequency Domain Identification
522
Guidelines for the User
531
4
539
Some Linear Algebra Fundamentals
545
Some Probability and Stochastic Convergence Fundamentals
567
8
582
Properties of Least Squares Estimators with Deterministic
627

Estimation with Known Noise Model
285
4
337
Estimation with Unknown Noise Model Standard
383
Model Selection and Validation
431
7
453
Estimation with Unknown Noise Model The Local Polynomial
463
Asymptotic Properties
472
Basic Choices in System Identification
497
Properties of Least Squares Estimators with Stochastic
651
Identification of Semilinear Models
665
Identification of Invariants of OverParameterized Models
699
5
706
Subject Index
729
Author Index
739
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Om författaren (2012)

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.

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