Robust LPV models identification approach based on shifted asymmetric Laplace distribution
This paper focuses on the robust parameters estimation algorithm of linear parameters varying (LPV) models. The classical robust identification techniques deal with the polluted training data, for example, outliers in white noise. The paper extends this robustness to both symmetric and asymmetric no...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2021-11-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/00202940211028904 |