Projects per year
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 |
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Pages (from-to) | 38-69 |
Journal | IEEE Control Systems Magazine |
Volume | 36 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 Jun 2016 |
Keywords
- Data models
- Distortion measurement
- Frequency measurement
- Linear systems
- Nonlinear distortion
- Nonlinear systems
- Uncertainty
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Dive into the research topics of 'Linear System Identification in a Nonlinear Setting: Nonparametric Analysis of the Nonlinear Distortions and Their Impact on the Best Linear Approximation.'. Together they form a unique fingerprint.Projects
- 1 Finished
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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