System identification : (Record no. 73779)

000 -LEADER
fixed length control field 04400nam a2200565 i 4500
001 - CONTROL NUMBER
control field 5237512
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712205614.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151221s2005 nyua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780471723134
-- ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print ed.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print ed.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
082 00 - CLASSIFICATION NUMBER
Call Number 003/.85
100 1# - AUTHOR NAME
Author Pintelon, R.,
245 10 - TITLE STATEMENT
Title System identification :
Sub Title a frequency domain approach /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (xxxviii, 605 pages) :
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
Subject System identification.
700 1# - AUTHOR 2
Author 2 Schoukens, J.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5237512
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- New York :
-- IEEE Press,
-- c2001.
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [2005]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Description based on PDF viewed 12/21/2015.
695 ## -
-- Bibliographies
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-- Biographies
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-- Frequency domain analysis
695 ## -
-- Indexes

No items available.