An improved method for Wiener-Hammerstein system identification based on the fractional approach
type: Item
instance of: scholarly article
title: An improved method for Wiener-Hammerstein system identification based on the fractional approach
zbMATH Open document ID: 1401.93209
author: Giuseppe Giordano
author: Sébastien Gros
author: Jonas Sjöberg
published in: Automatica
publication date: 2018-10-17T00:00:00Z
Mathematics Subject Classification ID: 93E12
Mathematics Subject Classification ID: 93B55
Mathematics Subject Classification ID: 93C80
Mathematics Subject Classification ID: 93E25
Mathematics Subject Classification ID: 93C05
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 6957846
zbMATH Keywords: system identification
zbMATH Keywords: Wiener-Hammerstein
zbMATH Keywords: conditioning
zbMATH Keywords: identifiability
zbMATH Keywords: lifting
zbMATH Keywords: Newton methods
describes a project that uses: LiftOpt
describes a project that uses: Ipopt
describes a project that uses: Wiener-Hammerstein Benchmark
MaRDI profile type: Publication
full work available at URL: j.automatica.2018.04.046
OpenAlex ID: W2807461146
cites work: The Lifted Newton Method and Its Application in Optimization
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cites work: Identification of block-oriented nonlinear systems starting from linear approximations: a survey
cites work: Initializing Wiener-Hammerstein models based on partitioning of the best linear approximation
cites work: On covariance function tests used in system identification
cites work: A fractional approach to identify Wiener-Hammerstein systems
cites work: On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
cites work: Initial estimates of the linear subsystems of Wiener-Hammerstein models
Wikidata QID: Q129760187
DOI: 10.1016/J.AUTOMATICA.2018.04.046
description: scientific article; zbMATH DE number 6957846