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System identification = a frequency ...
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Pintelon, R.
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System identification = a frequency domain approach /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
System identification/ Rik Pintelon, Johan Schoukens.
其他題名:
a frequency domain approach /
作者:
Pintelon, R.
其他作者:
Schoukens, J.
出版者:
Hoboken, N.J. :Wiley, : 2012.,
面頁冊數:
1 online resource.
內容註:
Front Matter -- An Introduction to Identification -- Measurement of Frequency Response Functions {esc}b6{esc}s Standard Solutions -- Frequency Response Function Measurements in the Presence of Nonlinear Distortions -- Detection, Quantification, and Qualification of Nonlinear Distortions in FRF Measurements -- Design of Excitation Signals -- Models of Linear Time-Invariant Systems -- Measurement of Frequency Response Functions {esc}b6{esc}s The Local Polynomial Approach -- An Intuitive Introduction to Frequency Domain Identification -- Estimation with Known Noise Model -- Estimation with Unknown Noise Model {esc}b6{esc}s Standard Solutions -- Model Selection and Validation -- Estimation with Unknown Noise Model {esc}b6{esc}s The Local Polynomial Approach -- Basic Choices in System Identification -- Guidelines for the User -- 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 Invariants of (Over)Parameterized Models -- References -- Subject Index -- Author Index -- About the Authors --.
標題:
System identification. -
電子資源:
http://onlinelibrary.wiley.com/book/10.1002/9781118287422
ISBN:
9781118287422 (electronic bk.)
System identification = a frequency domain approach /
Pintelon, R.
System identification
a frequency domain approach /[electronic resource] :Rik Pintelon, Johan Schoukens. - 2nd ed. - Hoboken, N.J. :Wiley,2012. - 1 online resource.
Includes bibliographical references and indexes.
Front Matter -- An Introduction to Identification -- Measurement of Frequency Response Functions {esc}b6{esc}s Standard Solutions -- Frequency Response Function Measurements in the Presence of Nonlinear Distortions -- Detection, Quantification, and Qualification of Nonlinear Distortions in FRF Measurements -- Design of Excitation Signals -- Models of Linear Time-Invariant Systems -- Measurement of Frequency Response Functions {esc}b6{esc}s The Local Polynomial Approach -- An Intuitive Introduction to Frequency Domain Identification -- Estimation with Known Noise Model -- Estimation with Unknown Noise Model {esc}b6{esc}s Standard Solutions -- Model Selection and Validation -- Estimation with Unknown Noise Model {esc}b6{esc}s The Local Polynomial Approach -- Basic Choices in System Identification -- Guidelines for the User -- 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 Invariants of (Over)Parameterized Models -- References -- Subject Index -- Author Index -- About the Authors --.
Electronic reproduction.
Hoboken, N.J. :
Wiley InterScience,
2012.
Mode of access: World Wide Web.
ISBN: 9781118287422 (electronic bk.)
Standard No.: 9786613651617
LCCN: 2011044212Subjects--Topical Terms:
545603
System identification.
LC Class. No.: QA402 / .P56 2012
Dewey Class. No.: 003.1
System identification = a frequency domain approach /
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Front Matter -- An Introduction to Identification -- Measurement of Frequency Response Functions {esc}b6{esc}s Standard Solutions -- Frequency Response Function Measurements in the Presence of Nonlinear Distortions -- Detection, Quantification, and Qualification of Nonlinear Distortions in FRF Measurements -- Design of Excitation Signals -- Models of Linear Time-Invariant Systems -- Measurement of Frequency Response Functions {esc}b6{esc}s The Local Polynomial Approach -- An Intuitive Introduction to Frequency Domain Identification -- Estimation with Known Noise Model -- Estimation with Unknown Noise Model {esc}b6{esc}s Standard Solutions -- Model Selection and Validation -- Estimation with Unknown Noise Model {esc}b6{esc}s The Local Polynomial Approach -- Basic Choices in System Identification -- Guidelines for the User -- 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 Invariants of (Over)Parameterized Models -- References -- Subject Index -- Author Index -- About the Authors --.
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http://onlinelibrary.wiley.com/book/10.1002/9781118287422
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