Identification of nonlinear system structure and parameters using regime decomposition
type: Item
instance of: scholarly article
title: Identification of nonlinear system structure and parameters using regime decomposition
zbMATH Open document ID: 0825.93114
DOI: 10.1016/0005-1098(94)00096-2
author: Yanyan Li
published in: Automatica
publication date: 1995-11-28T00:00:00Z
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93B27
zbMATH DE Number: 758500
MaRDI profile type: Publication
full work available at URL: 0005-1098(94)00096-2
OpenAlex ID: W2090013042
cites work: Fitting autoregressive models for prediction
cites work: Q3327527
cites work: Multivariate adaptive regression splines
cites work: Q3998409
cites work: Constructing NARMAX models using ARMAX models
cites work: ASMO—Dan algorithm for adaptive spline modelling of observation data
cites work: Application of a general multi-model approach for identification of highly nonlinear processes-a case study
cites work: Construction of composite models from observed data
cites work: On covariance function tests used in system identification
cites work: Model-structure selection by cross-validation
cites work: Q5749173
cites work: Q4066417
cites work: Structure identification of fuzzy model
cites work: Fuzzy identification of systems and its applications to modeling and control
Wikidata QID: Q127294082
description: scientific article; zbMATH DE number 758500