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Regularized identification of fast time-varying systems - comparison of two regularization strategies
Abstract
The problem of identification of a time-varying FIR system is considered and solved using the local basis function approach. It is shown that the estimation (tracking) results can be improved by means of regularization. Two variants of regularization are proposed and compared: the classical L2 (ridge) regularization and a new, reweighted L2 one. It is shown that the new approach can outperform the classical one and is computationally attractive.
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- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/CDC45484.2021.9683773
- License
- Copyright (2021 IEEE)
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Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- 2021 60th IEEE Conference on Decision and Control (CDC) strony 864 - 871
- Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Gańcza A., Niedźwiecki M.: Regularized identification of fast time-varying systems - comparison of two regularization strategies// 2021 60th IEEE Conference on Decision and Control (CDC)/ : , 2021, s.864-871
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/cdc45484.2021.9683773
- Sources of funding:
-
- Statutory activity/subsidy
- Project Generalized Savitzky-Golay filters for identification and smoothing of nonstationary processes
- Verified by:
- Gdańsk University of Technology
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