Tikhonov Regularized Variable Projection Algorithms for Separable Nonlinear Least Squares Problems

This paper considers the classical separable nonlinear least squares problem. Such problems can be expressed as a linear combination of nonlinear functions, and both linear and nonlinear parameters are to be estimated. Among the existing results, ill-conditioned problems are less often considered. H...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhengqing Fu, Lanlan Guo
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/4861708
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832554559992496128
author Zhengqing Fu
Lanlan Guo
author_facet Zhengqing Fu
Lanlan Guo
author_sort Zhengqing Fu
collection DOAJ
description This paper considers the classical separable nonlinear least squares problem. Such problems can be expressed as a linear combination of nonlinear functions, and both linear and nonlinear parameters are to be estimated. Among the existing results, ill-conditioned problems are less often considered. Hence, this paper focuses on an algorithm for ill-conditioned problems. In the proposed linear parameter estimation process, the sensitivity of the model to disturbance is reduced using Tikhonov regularisation. The Levenberg–Marquardt algorithm is used to estimate the nonlinear parameters. The Jacobian matrix required by LM is calculated by the Golub and Pereyra, Kaufman, and Ruano methods. Combining the nonlinear and linear parameter estimation methods, three estimation models are obtained and the feasibility and stability of the model estimation are demonstrated. The model is validated by simulation data and real data. The experimental results also illustrate the feasibility and stability of the model.
format Article
id doaj-art-4053552d5c2b479e935ba89503eac5b1
institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-4053552d5c2b479e935ba89503eac5b12025-02-03T05:51:06ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/48617084861708Tikhonov Regularized Variable Projection Algorithms for Separable Nonlinear Least Squares ProblemsZhengqing Fu0Lanlan Guo1College of Mathematics and System Sciences, SDUST, Qingdao, Shandong 266590, ChinaCollege of Mechanical and Electronic Engineering, SDUST, Qingdao, Shandong 266590, ChinaThis paper considers the classical separable nonlinear least squares problem. Such problems can be expressed as a linear combination of nonlinear functions, and both linear and nonlinear parameters are to be estimated. Among the existing results, ill-conditioned problems are less often considered. Hence, this paper focuses on an algorithm for ill-conditioned problems. In the proposed linear parameter estimation process, the sensitivity of the model to disturbance is reduced using Tikhonov regularisation. The Levenberg–Marquardt algorithm is used to estimate the nonlinear parameters. The Jacobian matrix required by LM is calculated by the Golub and Pereyra, Kaufman, and Ruano methods. Combining the nonlinear and linear parameter estimation methods, three estimation models are obtained and the feasibility and stability of the model estimation are demonstrated. The model is validated by simulation data and real data. The experimental results also illustrate the feasibility and stability of the model.http://dx.doi.org/10.1155/2019/4861708
spellingShingle Zhengqing Fu
Lanlan Guo
Tikhonov Regularized Variable Projection Algorithms for Separable Nonlinear Least Squares Problems
Complexity
title Tikhonov Regularized Variable Projection Algorithms for Separable Nonlinear Least Squares Problems
title_full Tikhonov Regularized Variable Projection Algorithms for Separable Nonlinear Least Squares Problems
title_fullStr Tikhonov Regularized Variable Projection Algorithms for Separable Nonlinear Least Squares Problems
title_full_unstemmed Tikhonov Regularized Variable Projection Algorithms for Separable Nonlinear Least Squares Problems
title_short Tikhonov Regularized Variable Projection Algorithms for Separable Nonlinear Least Squares Problems
title_sort tikhonov regularized variable projection algorithms for separable nonlinear least squares problems
url http://dx.doi.org/10.1155/2019/4861708
work_keys_str_mv AT zhengqingfu tikhonovregularizedvariableprojectionalgorithmsforseparablenonlinearleastsquaresproblems
AT lanlanguo tikhonovregularizedvariableprojectionalgorithmsforseparablenonlinearleastsquaresproblems