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Bayesian augmented Lagrangian algorithm for system identification

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2018 United Kingdom English Publisher:Elsevier BVJournal:Systems & Control Letters, volume 120, pages 9-16 (issn: 0167-6911, Copyright policy )
Authors: Xiaoquan Tang; Long Zhang 0006; Xiuting Li;

doi: 10.1016/j.sysconle.2018.07.011

Bayesian augmented Lagrangian algorithm for system identification

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

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United Kingdom
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Keywords

Mathematical modelling of systems, NARX, Software, source code, etc. for problems pertaining to systems and control theory, augmented Lagrangian, Nonlinear systems in control theory, weighted \(l_1\) minimization, System identification, Bayesian, 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).
    		 17
    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.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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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!
17
Top 10%
Top 10%
Top 10%
Green
bronze