A fractional approach to identify Wiener–Hammerstein systems

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2014 Belgium English Publisher:Elsevier BVJournal:Automatica, volume 50, pages 903-909 (issn: 0005-1098,

Copyright policy )Funded by:EC | SNLSID

Authors: Laurent Vanbeylen;

doi: 10.1016/j.automatica.2013.12.013

handle: 20.500.14017/33970338-8a04-4d4d-bdab-6b9a7ad3c0e6

A fractional approach to identify Wiener–Hammerstein systems

- Summary
- Subjects
- Metrics

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country

Belgium

Related Organizations

Vrije Universiteit Brussel
Belgium

Keywords

Estimation and detection in stochastic control theory, Identification in stochastic control theory, Wiener-Hammerstein, block-oriented nonlinear models, initial estimates, Nonlinear systems, Nonlinear systems in control theory, System identification, Wiener-Hammerstein model, nonlinear models

Impact byBIP!

	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).	27
	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%