Mastering System Identification in 100 Exercises

Cover Image Copyright Year: 2012
Author(s): Johan Schoukens; Rik Pintelon; Yves Rolain
Book Type: Wiley-IEEE Press
Content Type : Books & eBooks
Topics: Communication, Networking & Broadcasting ;  Components, Circuits, Devices & Systems ;  Computing & Processing
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    Identification

    Copyright Year: 2012

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Introduction

  • Illustration of some Important Aspects of System Identification

  • Maximum Likelihood Estimation for Gaussian and Laplace Distributed Noise

  • Identification for Skew Distributions with Outliers

  • Selection of The Model Complexity

  • Noise on Input and Output Measurements: The IV Method and The EIV Method

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    Generation and Analysis of Excitation Signals

    Mastering System Identification in 100 Exercises
    Copyright Year: 2012

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Introduction

  • The Discrete Fourier Transform (DFT)

  • Generation and Analysis of Multisines and Other Periodic Signals

  • Generation of Optimized Periodic Signals

  • Generating Signals Using The Frequency Domain Identification Toolbox (Fdident)

  • Generation of Random Signals

  • Differentiation, Integration, Averaging, and Filtering of Periodic Signals

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    FRF Measurements

    Mastering System Identification in 100 Exercises
    Copyright Year: 2012

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Introduction

  • Definition of The FRF

  • FRF Measurements without Disturbing Noise

  • FRF Measurements in the Presence of Disturbing Output Noise

  • FRF Measurements in the Presence of Input and Output Noise

  • FRF Measurements of Systems Captured in a Feedback Loop

  • FRF Measurements Using Advanced Signal Processing Techniques: The LPM

  • Frequency Response Matrix Measurements for MIMO Systems

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    Identification of Linear Dynamic Systems

    Mastering System Identification in 100 Exercises
    Copyright Year: 2012

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Introduction

  • Identification Methods that are Linear-in-the-Parameters. The Noiseless Setup

  • Time Domain Identification Using Parametric Noise Models

  • Identification Using Nonparametric Noise Models and Periodic Excitations

  • Frequency Domain Identification Using Nonparametric Noise Models and Random Excitations

  • Time Domain Identification Using the System Identification Toolbox

  • Frequency Domain Identification Using the Toolbox Fdident

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    Best Linear Approximation of Nonlinear Systems

    Mastering System Identification in 100 Exercises
    Copyright Year: 2012

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Response of a Nonlinear System to a Periodic Input

  • Best Linear Approximation of a Nonlinear System

  • Predictive Power of the Best Linear Approximation

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    Measuring the Best Linear Approximation of a Nonlinear System

    Mastering System Identification in 100 Exercises
    Copyright Year: 2012

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Measuring the Best Linear Approximation

  • Measuring The Nonlinear Distortions

  • Guidelines

  • Projects

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    Identification of Parametric Models in the Presence of Nonlinear Distortions

    Mastering System Identification in 100 Exercises
    Copyright Year: 2012

    Wiley-IEEE Press eBook Chapters

    This chapter contains sections titled:

  • Introduction

  • Identification of the Best Linear Approximation Using Random Excitations

  • Generation of Uncertainty Bounds?

  • Identification of the Best Linear Approximation Using Periodic Excitations

  • Advises and Conclusions

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    References

    Mastering System Identification in 100 Exercises
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    Subject Index

    Mastering System Identification in 100 Exercises
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    Reference Index

    Mastering System Identification in 100 Exercises
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