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Abstract
In quite some applications, the linear dynamics of the system under test evolve over time in a smooth nonperiodic manner. The dynamic behavior of such systems is uniquely described by the time-variant frequency response function (TV-FRF). However, since most real-life systems behave nonlinearly to some extent, it is important to detect and quantify the deviation between the ideal linear time-variant (LTV) framework and the true non-LTV dynamics. Therefore, in this paper, a nonparametric estimation procedure is developed for detecting and quantifying the noise level and the level of the nonlinear distortions in TV-FRF measurements using random-phase multisine excitations. As a result, the users can decide whether or not the LTV framework is accurate enough to describe the true dynamics in their particular application. The proposed measurement procedure is illustrated on a time-variant electronic circuit.
| Original language | English |
|---|---|
| Pages (from-to) | 2829-2837 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Instrumentation and Measurement |
| Volume | 64 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 1 Oct 2015 |
Keywords
- Arbitrary time variation
- multisine nonlinear distortions
- nonparametric estimates
- nonparametric noise model
- periodic excitations
- time-variant frequency response function (TV-FRF)
- time-variant systems
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Dive into the research topics of 'Time-Variant Frequency Response Function Measurements on Weakly Nonlinear, Arbitrarily Time-Varying Systems Excited by Periodic Inputs'. Together they form a unique fingerprint.Projects
- 1 Finished
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DWTC282: Dynamical systems, control and optimization
Pintelon, R. (Administrative Promotor), Vandewalle, J. (Co-Promotor), Aeyels, D. (Co-Promotor), Sepulchre, R. (Co-Promotor), Kinnaert, M. (Co-Promotor), Vande Wouwer, A. (Co-Promotor), Blondel, V. (Coördinator), Winkin, J. (Co-Promotor), Boyd, S. (Co-Promotor) & Leonard, N. (Co-Promotor)
1/04/12 → 30/09/17
Project: Fundamental