Linear System Identification in a Nonlinear Setting: Nonparametric Analysis of the Nonlinear Distortions and Their Impact on the Best Linear Approximation.

Joannes Franciscus Schoukens; Mark Vaes; Rik Pintelon

doi:10.1109/MCS.2016.2535918

Linear System Identification in a Nonlinear Setting: Nonparametric Analysis of the Nonlinear Distortions and Their Impact on the Best Linear Approximation.

Joannes Franciscus Schoukens, Mark Vaes, Rik Pintelon

Research output: Contribution to journal › Article

61 Citations (Scopus)

Abstract

Linear system identification [1]?[4] is a basic step in modern control design approaches. Starting from experimental data, a linear dynamic time-invariant model is identified to describe the relationship between the reference signal and the output of the system. At the same time, the power spectrum of the unmodeled disturbances is identified to generate uncertainty bounds on the estimated

Original language	English
Pages (from-to)	38-69
Journal	IEEE Control Systems Magazine
Volume	36
Issue number	3
DOIs	https://doi.org/10.1109/MCS.2016.2535918
Publication status	Published - 1 Jun 2016

Keywords

Data models
Distortion measurement
Frequency measurement
Linear systems
Nonlinear distortion
Nonlinear systems
Uncertainty

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10.1109/MCS.2016.2535918

1 Finished

DWTC282: Dynamical systems, control and optimization
Pintelon, R., Vandewalle, J., Aeyels, D., Sepulchre, R., Kinnaert, M., Vande Wouwer, A., Blondel, V., Winkin, J., Boyd, S. & Leonard, N.
1/04/12 → 30/09/17
Project: Fundamental

Cite this

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abstract = "Linear system identification [1]?[4] is a basic step in modern control design approaches. Starting from experimental data, a linear dynamic time-invariant model is identified to describe the relationship between the reference signal and the output of the system. At the same time, the power spectrum of the unmodeled disturbances is identified to generate uncertainty bounds on the estimated",

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KW - Data models

KW - Distortion measurement

KW - Frequency measurement

KW - Linear systems

KW - Nonlinear distortion

KW - Nonlinear systems

KW - Uncertainty

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Linear System Identification in a Nonlinear Setting: Nonparametric Analysis of the Nonlinear Distortions and Their Impact on the Best Linear Approximation.

Abstract

Keywords

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Projects

DWTC282: Dynamical systems, control and optimization

Cite this