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
Link To Document :
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