Regressor selection with the analysis of variance method

DOI10.1016/j.automatica.2004.11.017zbMath1061.93094OpenAlexW2138813934WikidataQ59591924 ScholiaQ59591924MaRDI QIDQ1776423

Ingela Lind, Lennart Ljung

Publication date: 12 May 2005

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55859

zbMATH Keywords

Analysis of varianceNonlinear modelsStructure identificationStructural propertiesTime lag

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12)

Related Items (11)

A two-stage algorithm for identification of nonlinear dynamic systems ⋮ Kernel-based methods for Volterra series identification ⋮ Forward and backward least angle regression for nonlinear system identification ⋮ Representation and identification of non-parametric nonlinear systems of short term memory and low degree of interaction ⋮ Variable selection via RIVAL (removing irrelevant variables amidst lasso iterations) and its application to nuclear material detection ⋮ Model order determination using the Hankel matrix of impulse responses ⋮ Regressor and structure selection in NARX models using a structured ANOVA approach ⋮ A suboptimal bootstrap method for structure detection of non-linear output-error models with application to human ankle dynamics ⋮ Fixed-structure Gaussian process model ⋮ Multivariate polynomial regression for identification of chaotic time series ⋮ Application of a least absolute shrinkage and selection operator to aeroelastic flight test data

Uses Software

• Matlab

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Analysis of variance
• Nonlinear black-box modeling in system identification: A unified overview
• Structure identification of nonlinear dynamic systems - A survey on input/output approaches
• Nonparametric Lag Selection for Time Series
• Adaptive Modelling, Estimation and Fusion from Data
• A prediction-error and stepwise-regression estimation algorithm for non-linear systems
• Orthogonal parameter estimation algorithm for non-linear stochastic systems
• Identification of non-linear output-affine systems using an orthogonal least-squares algorithm
• On model structure testing in system identification
• Nonparametric Identification of Nonlinear Time Series: Projections
• Nonparametric Identification of Nonlinear Time Series: Selecting Significant Lags
• An identification algorithm for polynomial NARX models based on simulation error minimization
• Additivity tests for nonlinear autoregression
• Order Choice in Nonlinear Autoregressive Models
• A generalization of some classical time series tools

This page was built for publication: Regressor selection with the analysis of variance method