CENTRAL LIBRARY

Welcome to Online Public Access Catalogue (OPAC)

Normal view MARC view ISBD view

System identification : a frequency domain approach / Rik Pintelon, Johan Schoukens.

By: Pintelon, R. (Rik).
Contributor(s): Schoukens, J. (Johan) | Wiley InterScience (Online service).
Material type: materialTypeLabelBookPublisher: Hoboken, N.J. : Piscataway, NJ : Wiley ; IEEE Press, ©2012Edition: 2nd ed.Description: 1 online resource (xliv, 743 pages) : illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9781118287422; 1118287428; 9780470640371; 0470640375; 9781118287262; 1118287266; 9781118270677; 1118270673; 9781118287392; 1118287398.Subject(s): System identification | Mathematics | Computer science | SCIENCE -- System Theory | TECHNOLOGY & ENGINEERING -- Operations Research | System identificationGenre/Form: Electronic books.Additional physical formats: Print version:: System identification.DDC classification: 003/.1 Online resources: Wiley Online Library
Contents:
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.
Summary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

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.

"MATLAB examples."

Includes bibliographical references and indexes.

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.

Print version record.

There are no comments for this item.

Log in to your account to post a comment.

Khulna University of Engineering & Technology

Funded by: HEQEP, UGC, Bangladesh