Performance evaluation of methods for identifying continuous-time autoregressive processes
type: Item
instance of: scholarly article
title: Performance evaluation of methods for identifying continuous-time autoregressive processes
zbMATH Open document ID: 0939.93505
DOI: 10.1016/S0005-1098(99)00104-1
author: Torsten Söderström
author: Magnus Mossberg
published in: Automatica
publication date: 2000-03-09T00:00:00Z
Mathematics Subject Classification ID: 93B30
zbMATH DE Number: 1389425
zbMATH Keywords: identification
zbMATH Keywords: continuous-time AR process
zbMATH Keywords: discrete-time data
MaRDI profile type: Publication
cites work: Q3289466
cites work: Sampling in digital signal processing and control
cites work: Q3940701
cites work: Improved finite word length characteristics in digital control using delta operators
cites work: Q4003783
cites work: Estimation of parameters of a continuous time Gaussian stationary process with rational spectral density
cites work: Numerical integration approach to on-line identification of continuous- time systems
cites work: Least squares parameter estimation of continuous-time ARX models from discrete-time data
cites work: Q3993512
cites work: Q4023126
cites work: Q3792538
cites work: System identification using Laguerre models
cites work: Parameter estimation for continuous-time models - a survey
cites work: A new bias-compensating LS method for continuous system identification in the presence of coloured noise
Wikidata QID: Q126851746
full work available at URL: s0005-1098(99)00104-1
OpenAlex ID: W1969273287
description: scientific article; zbMATH DE number 1389425