System identification :
Pintelon, R.
System identification : a frequency domain approach / Rik Pintelon, Johan Schoukens. - 2nd ed. - Hoboken, N.J. : Piscataway, NJ : Wiley ; IEEE Press, ©2012. - 1 online resource (xliv, 743 pages) : illustrations
"MATLAB examples."
Includes bibliographical references and indexes.
An Introduction to Identification -- Measurement of Frequency Response Functions -- 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 -- The Local Polynomial Approach -- An Intuitive Introduction to Frequency Domain Identification -- Estimation with Known Noise Model -- Estimation with Unknown Noise Model -- Standard Solutions -- Model Selection and Validation -- Estimation with Unknown Noise Model -- 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.
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 identific.
9781118287422 1118287428 9780470640371 0470640375 9781118287262 1118287266 9781118270677 1118270673 9781118287392 1118287398
9786613651617 9781118287422
10.1002/9781118287422 Wiley InterScience http://www3.interscience.wiley.com
System identification.
Mathematics.
Computer science.
SCIENCE--System Theory.
TECHNOLOGY & ENGINEERING--Operations Research.
System identification.
Electronic books.
QA402 / .P56 2012
003/.1
System identification : a frequency domain approach / Rik Pintelon, Johan Schoukens. - 2nd ed. - Hoboken, N.J. : Piscataway, NJ : Wiley ; IEEE Press, ©2012. - 1 online resource (xliv, 743 pages) : illustrations
"MATLAB examples."
Includes bibliographical references and indexes.
An Introduction to Identification -- Measurement of Frequency Response Functions -- 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 -- The Local Polynomial Approach -- An Intuitive Introduction to Frequency Domain Identification -- Estimation with Known Noise Model -- Estimation with Unknown Noise Model -- Standard Solutions -- Model Selection and Validation -- Estimation with Unknown Noise Model -- 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.
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 identific.
9781118287422 1118287428 9780470640371 0470640375 9781118287262 1118287266 9781118270677 1118270673 9781118287392 1118287398
9786613651617 9781118287422
10.1002/9781118287422 Wiley InterScience http://www3.interscience.wiley.com
System identification.
Mathematics.
Computer science.
SCIENCE--System Theory.
TECHNOLOGY & ENGINEERING--Operations Research.
System identification.
Electronic books.
QA402 / .P56 2012
003/.1