In this paper the main goal is to compare the instrumental variables and the least squares methods applied to parameter estimation in continuous-time systems, avoiding any preliminary discretization of the process, and to analyse which method is more suitable for estimation in continuous-time under stochastic perturbations. A numerical example illustrates the effectiveness of the algorithms.
Accepté le :
DOI : 10.1051/cocv/2015052
Keywords: Parameter estimation, continuous-time, stochastic systems, instrumental variable
Escobar, Jesica  1 ; Enqvist, Martin  2
@article{COCV_2017__23_2_427_0,
author = {Escobar, Jesica and Enqvist, Martin},
title = {Instrumental variables and {LSM} in continuous-time parameter estimation},
journal = {ESAIM: Control, Optimisation and Calculus of Variations},
pages = {427--442},
year = {2017},
publisher = {EDP-Sciences},
volume = {23},
number = {2},
doi = {10.1051/cocv/2015052},
mrnumber = {3608087},
zbl = {1358.93159},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.1051/cocv/2015052/}
}
TY - JOUR AU - Escobar, Jesica AU - Enqvist, Martin TI - Instrumental variables and LSM in continuous-time parameter estimation JO - ESAIM: Control, Optimisation and Calculus of Variations PY - 2017 SP - 427 EP - 442 VL - 23 IS - 2 PB - EDP-Sciences UR - http://geodesic.mathdoc.fr/articles/10.1051/cocv/2015052/ DO - 10.1051/cocv/2015052 LA - en ID - COCV_2017__23_2_427_0 ER -
%0 Journal Article %A Escobar, Jesica %A Enqvist, Martin %T Instrumental variables and LSM in continuous-time parameter estimation %J ESAIM: Control, Optimisation and Calculus of Variations %D 2017 %P 427-442 %V 23 %N 2 %I EDP-Sciences %U http://geodesic.mathdoc.fr/articles/10.1051/cocv/2015052/ %R 10.1051/cocv/2015052 %G en %F COCV_2017__23_2_427_0
Escobar, Jesica; Enqvist, Martin. Instrumental variables and LSM in continuous-time parameter estimation. ESAIM: Control, Optimisation and Calculus of Variations, Tome 23 (2017) no. 2, pp. 427-442. doi: 10.1051/cocv/2015052
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