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Parameter estimation for nonlinear dynamical adjustment models

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2011 English Publisher:Elsevier BVJournal:Mathematical and Computer Modelling, volume 54, pages 1,561-1,568 (issn: 0895-7177, Copyright policy )
Authors: Yongsong Xiao; Na Yue;

doi: 10.1016/j.mcm.2011.04.027

Parameter estimation for nonlinear dynamical adjustment models

Abstract

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Keywords

least squares, Estimation and detection in stochastic control theory, Least squares and related methods for stochastic control systems, Modelling and Simulation, nonlinear system, parameter estimation, Hammerstein model, recursive identification, Computer Science Applications

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    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).
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    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.
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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!
43
Top 10%
Top 10%
Top 10%
hybrid