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IDEAS: a Matlab Toolbox
for Parameter Identification |
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What is IDEAS?
IDEAS is a Matlab® toolbox for parameter identification of ordinary differential equation (ODE) models. The parameter estimation is performed in the maximum-likelihood (ML) sense. IDEAS offers several options for the optimal criterion, depending on the hypothesis on the covariance matrix of the measurement errors.
The toolbox is an open source. All the functions generated are accessible
and can be utilized in other user-defined routines, and modified if needed.
The
main feature of IDEAS is the assessment of the uncertainty of the estimates,
based
on the symbolic computation of sensitivity functions to evaluate the Fisher
information matrix.
The current version v1.1 tackles the estimation problem for the case of synchronous observations.
Requirements: Matlab 7.0 and the Optimization and Symbolic toolboxes
Authors:
Rafael Muñoz-Tamayo1,2,3, Béatrice Laroche1, Eric Walter3, Marion Leclerc2
(1)
UR341 INRA Jouy-en-Josas, Unité de Mathématiques et Informatique
Appliquées
This Lab. is since 2015: UR1404 INRA, Jouy-en-Josas, France.
(2)
UR910 INRA Jouy-en-Josas, Unité d'Ecologie et Physiologie du Système
Digestif
(3) UMR8506 Univ Paris
Sud-CNRS-SUPÉLEC, Laboratoire des Signaux et Systèmes
References: IDEAS was presented in the 15th IFAC
Symposium on System Identification, SYSID 2009. If you publish results using
this toolbox, please cite the respective reference:
Muñoz-Tamayo,
R., B. Laroche, M. Leclerc and E. Walter. 2009. IDEAS: a parameter
identification toolbox with symbolic analysis of uncertainty and its application
to biological modelling.
In Proc. 15th Symposium on System Identification, Saint-Malo, France.
1271-1276.
Download
IDEAS :
If
you want to have access to the toolbox, please take a few seconds to fill this form.
Contact:
Beatrice.Laroche@inra.fr, rafaun@yahoo.com
