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Mastering system identification in 100 exercises [electronic resource] / Johan Schoukens, Rik Pintelon, Yves Rolain.

By: Contributor(s): Material type: TextTextPublication details: Hoboken, N.J. : Wiley ; Piscataway, NJ : IEEE Press, c2012.Description: 1 online resource (xviii, 264 p.) : illISBN:
  • 9781118218532 (electronic bk.)
  • 1118218531 (electronic bk.)
Other title:
  • Mastering system identification in one hundred exercises
Subject(s): Genre/Form: Additional physical formats: Print version:: Mastering system identification in 100 exercises.DDC classification:
  • 519.5
Online resources:
Contents:
Generation and Analysis of Excitation Signals -- FRF Measurements -- Identification of Linear Dynamic Systems -- Best Linear Approximation of Nonlinear Systems -- Measuring the Best Linear Approximation of a Nonlinear System -- Identification of Parametric Models in the Presence of Nonlinear Distortions.
Summary: "This book enables readers to understand system identification and linear system modeling through 100 practical exercises without requiring complex theoretical knowledge. The contents encompass state-of-the-art system identification methods, with both time and frequency domain system identification methods covered, including the pros and cons of each. Each chapter features MATLAB exercises, discussions of the exercises, accompanying MATLAB downloads, and larger projects that serve as potential assignments in this learn-by-doing resource"-- Provided by publisher.Summary: "The goal of this book is to teach the reader to measure and model linear dynamic systems (in the presence of nonlinear distortions) from a practical point of view"-- Provided by publisher.
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IT Carlow ebook

IEEE ebook

Includes bibliographical references and indexes.

Generation and Analysis of Excitation Signals -- FRF Measurements -- Identification of Linear Dynamic Systems -- Best Linear Approximation of Nonlinear Systems -- Measuring the Best Linear Approximation of a Nonlinear System -- Identification of Parametric Models in the Presence of Nonlinear Distortions.

"This book enables readers to understand system identification and linear system modeling through 100 practical exercises without requiring complex theoretical knowledge. The contents encompass state-of-the-art system identification methods, with both time and frequency domain system identification methods covered, including the pros and cons of each. Each chapter features MATLAB exercises, discussions of the exercises, accompanying MATLAB downloads, and larger projects that serve as potential assignments in this learn-by-doing resource"-- Provided by publisher.

"The goal of this book is to teach the reader to measure and model linear dynamic systems (in the presence of nonlinear distortions) from a practical point of view"-- Provided by publisher.

Description based on print version record.

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