System identification : (Record no. 59830)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06970nam a2201237 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 6198969 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421114417.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 151221s2012 njua ob 001 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781118287422 |
| -- | ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | cloth |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | cloth |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | electronic |
| 100 1# - AUTHOR NAME | |
| Author | Pintelon, R., |
| 245 10 - TITLE STATEMENT | |
| Title | System identification : |
| Sub Title | a frequency domain approach / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 PDF (xliv, 743 pages) : |
| 500 ## - GENERAL NOTE | |
| Remark 1 | "MATLAB examples"--T.p. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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 algorithmsUnlike 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Schoukens, J. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6198969 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Hoboken, N.J. : |
| -- | Wiley ; |
| -- | Piscataway, NJ : |
| -- | IEEE Press, |
| 264 #2 - | |
| -- | [Piscataqay, New Jersey] : |
| -- | IEEE Xplore, |
| -- | [2012] |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | electronic |
| -- | isbdmedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 588 ## - | |
| -- | Description based on PDF viewed 12/21/2015. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | System identification. |
| 695 ## - | |
| -- | Actuators |
| 695 ## - | |
| -- | Approximation methods |
| 695 ## - | |
| -- | Boundary conditions |
| 695 ## - | |
| -- | Broadband communication |
| 695 ## - | |
| -- | Convergence |
| 695 ## - | |
| -- | Correlation |
| 695 ## - | |
| -- | Cost function |
| 695 ## - | |
| -- | Covariance matrix |
| 695 ## - | |
| -- | Current measurement |
| 695 ## - | |
| -- | Data models |
| 695 ## - | |
| -- | Discrete Fourier transforms |
| 695 ## - | |
| -- | Distortion measurement |
| 695 ## - | |
| -- | Eigenvalues and eigenfunctions |
| 695 ## - | |
| -- | Electrical resistance measurement |
| 695 ## - | |
| -- | Equations |
| 695 ## - | |
| -- | Estimation |
| 695 ## - | |
| -- | Frequency domain analysis |
| 695 ## - | |
| -- | Frequency estimation |
| 695 ## - | |
| -- | Frequency response |
| 695 ## - | |
| -- | Gaussian noise |
| 695 ## - | |
| -- | Guidelines |
| 695 ## - | |
| -- | Harmonic analysis |
| 695 ## - | |
| -- | Indexes |
| 695 ## - | |
| -- | Laplace equations |
| 695 ## - | |
| -- | Least squares approximation |
| 695 ## - | |
| -- | Markov processes |
| 695 ## - | |
| -- | Mathematical model |
| 695 ## - | |
| -- | Matrix decomposition |
| 695 ## - | |
| -- | Maximum likelihood estimation |
| 695 ## - | |
| -- | Measurement uncertainty |
| 695 ## - | |
| -- | Noise |
| 695 ## - | |
| -- | Noise measurement |
| 695 ## - | |
| -- | Nonlinear distortion |
| 695 ## - | |
| -- | Nonlinear systems |
| 695 ## - | |
| -- | Null space |
| 695 ## - | |
| -- | Numerical models |
| 695 ## - | |
| -- | Phase measurement |
| 695 ## - | |
| -- | Poles and zeros |
| 695 ## - | |
| -- | Polynomials |
| 695 ## - | |
| -- | Probability density function |
| 695 ## - | |
| -- | Random variables |
| 695 ## - | |
| -- | Resistors |
| 695 ## - | |
| -- | Sensitivity |
| 695 ## - | |
| -- | Signal to noise ratio |
| 695 ## - | |
| -- | Singular value decomposition |
| 695 ## - | |
| -- | Spectral analysis |
| 695 ## - | |
| -- | Stochastic processes |
| 695 ## - | |
| -- | Symmetric matrices |
| 695 ## - | |
| -- | System identification |
| 695 ## - | |
| -- | Systematics |
| 695 ## - | |
| -- | Time domain analysis |
| 695 ## - | |
| -- | Time factors |
| 695 ## - | |
| -- | Time frequency analysis |
| 695 ## - | |
| -- | Time measurement |
| 695 ## - | |
| -- | Transfer functions |
| 695 ## - | |
| -- | Transient analysis |
| 695 ## - | |
| -- | Uncertainty |
| 695 ## - | |
| -- | Vectors |
| 695 ## - | |
| -- | Voltage measurement |
| 695 ## - | |
| -- | Weight measurement |
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