Analysis of linear methods for robust identification in \(\ell_ 1\)
type: Item
instance of: scholarly article
title: Analysis of linear methods for robust identification in \(\ell_ 1\)
zbMATH Open document ID: 0823.93017
DOI: 10.1016/0005-1098(94)00163-D
published in: Automatica
publication date: 1995-10-23T00:00:00Z
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 93B35
Mathematics Subject Classification ID: 93C05
Mathematics Subject Classification ID: 93B40
zbMATH DE Number: 777950
zbMATH Keywords: worst-case analysis
zbMATH Keywords: identification
zbMATH Keywords: linear algorithms
zbMATH Keywords: least-square
zbMATH Keywords: robust
zbMATH Keywords: \(\ell_ 1\) identification
author: Jonathan R. Partington
author: P. M. Mäkilä
MaRDI profile type: Publication
Wikidata QID: Q56319498
cites work: The least-squares identification of FIR systems subject to worst-case noise
cites work: The least squares algorithm, parametric system identification and bounded noise
cites work: The sample complexity of worst-case identification of FIR linear systems
cites work: Worst case system identification in \(\ell{}_ 1\): Optimal algorithms and error bounds
cites work: Q4188284
cites work: Q3780863
cites work: Robust identification and Galois sequences
cites work: Properties of least squares estimates in set membership identification
cites work: Robust identification in \(H_{\infty{}}\)
cites work: Interpolation in Normed Spaces from the Values of Linear Functionals
cites work: Worst-case identification in \(\ell_ 2\): Linear and nonlinear algorithms
cites work: Worst-case analysis of identification-BIBO robustness for closed-loop data
cites work: Worst-case analysis of the least-squares method and related identification methods
cites work: On the time complexity of worst-case system identification
cites work: On covariance function tests used in system identification
full work available at URL: 0005-1098(94)00163-d
OpenAlex ID: W2053369714
DBLP publication ID: journals/automatica/PartingtonM95
description: scientific article; zbMATH DE number 777950