An iterative orthogonal forward regression algorithm

DOI10.1080/00207721.2014.981237zbMath1312.93108OpenAlexW1995614965MaRDI QIDQ5252870

Lingzhong Guo, Y. Z. Guo, Stephen A. Billings, Hua-Liang Wei

Publication date: 3 June 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: http://eprints.whiterose.ac.uk/107315/3/A%20New%20Iterative%20Orthogonal%20Forward%20Regression%20Algorithm%20-%20R2.pdf

zbMATH Keywords

nonlinear system identificationorthogonal least squaresmodel structure detectioniterative orthogonal forward regression

Mathematics Subject Classification ID

Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)

Related Items (7)

Stability orthogonal regression for system identification ⋮ Enhanced algorithm for randomised model structure selection ⋮ A randomised approach for NARX model identification based on a multivariate Bernoulli distribution ⋮ A randomized algorithm for nonlinear model structure selection ⋮ Bayesian augmented Lagrangian algorithm for system identification ⋮ Identification of the dynamic parametrical model with an iterative orthogonal forward regression algorithm ⋮ Identification of continuous-time models for nonlinear dynamic systems from discrete data

Cites Work

• A two-stage algorithm for identification of nonlinear dynamic systems
• Projection pursuit
• Simultaneaous constrained model predictive control and identification of DARX processes
• Computational system identification for Bayesian NARMAX modelling
• Nonlinear System Identification
• Input-output parametric models for non-linear systems Part I: deterministic non-linear systems
• Correlation based model validity tests for non-linear models
• Identification of non-linear output-affine systems using an orthogonal least-squares algorithm
• Extended model set, global data and threshold model identification of severely non-linear systems
• Orthogonal least squares methods and their application to non-linear system identification
• Nonlinear model validation using correlation tests
• Algorithms for minimal model structure detection in nonlinear dynamic system identification
• EFFECTS OF THE SAMPLING TIME ON THE DYNAMICS AND IDENTIFICATION OF NONLINEAR MODELS
• An identification algorithm for polynomial NARX models based on simulation error minimization
• Matching pursuits with time-frequency dictionaries

This page was built for publication: An iterative orthogonal forward regression algorithm