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Modeling, Identification and Control
Article . 2022 . Peer-reviewed
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Modeling, Identification and Control
Article . 2022
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On subspace system identification methods

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2022 English Publisher:Norwegian Society of Automatic ControlJournal:Modeling, Identification and Control: A Norwegian Research Bulletin, volume 43, pages 119-130 (issn: 0332-7353, eissn: 1890-1328, Copyright policy )
Authors: Christer Dalen; David Di Ruscio;

doi: 10.4173/mic.2022.4.1

On subspace system identification methods

Abstract

An open and closed loop subspace system identification algorithm DSRe is compared to competitive open loop algorithms, DSR, and N4SID. Additionally, DSRe is compared vs the optimal Prediction Error Method (PEM). Monte Carlo simulations with discrete random state space models are used for testing the subspace identification algorithms in the numerical simulation section.

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Keywords

monte carlo, Electronic computers. Computer science, stochastic systems, subspace methods, QA75.5-76.95, system identification

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Published in a Diamond OA journal