DocumentCode
2249862
Title
A nonlinear least squares estimation procedure without initial parameter guesses
Author
Bonilla, Julián ; Diehl, Moritz ; Moor, Bart De ; Impe, Jan Van
Author_Institution
Dept. of Chem. Eng. CIT/BioTec, Katholieke Univ. Leuven, Leuven, Belgium
fYear
2008
fDate
9-11 Dec. 2008
Firstpage
5519
Lastpage
5524
Abstract
This paper introduces a convex formulation approach for the initialization of parameter estimation problems (PEP). The proposed method exploits the parameter-affine feature exhibited by some dynamic systems. The method attempts to solve a related convex problem and uses its result as the initial guess for the solution of the original nonconvex PEP. The proposed approach is illustrated through two nonconvex parameter estimation study cases; the harmonic oscillator and the Lorenz attractor.
Keywords
least squares approximations; parameter estimation; Lorenz attractor; convex problem; harmonic oscillator; initial parameter guesses; nonlinear least squares estimation; parameter estimation problems; parameter-affine feature; Chemical engineering; Constraint optimization; Least squares approximation; Least squares methods; Nonlinear dynamical systems; Optimization methods; Oscillators; Parameter estimation; Predictive models; Process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location
Cancun
ISSN
0191-2216
Print_ISBN
978-1-4244-3123-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2008.4739175
Filename
4739175
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