DocumentCode
3242338
Title
Identification of linearly overparametrized nonlinear systems
Author
Bastin, G. ; Bitmead, R.R. ; Campion, G. ; Gevers, M.
Author_Institution
Lab. d´´Autom., Catholic Univ. of Louvain, Belgium
fYear
1989
fDate
13-15 Dec 1989
Firstpage
618
Abstract
Often, a dynamical model is nonlinear in the unknown parameters, but it can be transformed into an overparameterized linear regression model, where the components of the overparameterization vector are nonlinear functions of the smaller number of unknown parameters. An algorithm that directly identifies the unknown parameters is presented, and the convergence domain is characterized
Keywords
nonlinear systems; parameter estimation; statistics; convergence domain; dynamical model; linearly overparametrized nonlinear systems; overparameterized linear regression model; parameter estimation; parameter identification; statistics; Circuits; Convergence; Linear regression; Linear systems; Nonlinear systems; Parameter estimation; Polynomials; Signal mapping; Systems engineering and theory; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location
Tampa, FL
Type
conf
DOI
10.1109/CDC.1989.70191
Filename
70191
Link To Document