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Fast Algorithms for Identification of Time-Varying Systems with Both Smooth and Discontinuous Parameter Changes
Abstract
The problem of noncausal identification of a time-varying linear system subject to both smooth and occasional jump-type changes is considered and solved using the preestimation technique combined with the basis function approach to modeling the variability of system parameters. The proposed estimation algorithms yield very good parameter tracking results and are computationally attractive.
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- Accepted or Published Version
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- Copyright (2023, IEEE)
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2023
- Bibliographic description:
- Niedźwiecki M., Gańcza A.: Fast Algorithms for Identification of Time-Varying Systems with Both Smooth and Discontinuous Parameter Changes// / : , 2023,
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/cdc49753.2023.10384258
- Sources of funding:
-
- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
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