Search
Abstract
The article proposes a fast, two-stage method for the identification of nonstationary systems. The method uses iterative reweighting to robustify the identification process against the outliers in the measurement noise and against the numerical errors that may occur at the first stage of identification. We also propose an adaptive algorithm to optimize the values of the hyperparameters that are crucial for this new method.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (3)
Cite as
Full text
download paper
downloaded 0 times
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.23919/EUSIPCO58844.2023.10289841
- License
- Copyright (Author(s))
Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2023
- Bibliographic description:
- Gańcza A., Chełkowska M., Kleinschmidt N.: Towards Robust Identification of Nonstationary Systems// / : , 2023,
- DOI:
- Digital Object Identifier (open in new tab) 10.23919/eusipco58844.2023.10289841
- Sources of funding:
-
- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
seen 64 times