Accéder directement au contenu Accéder directement à la navigation
Communication dans un congrès

Thermal building model identification using time-scaled identification methods

Abstract : The aim of this paper is to propose a robust and accurate method for the parametric identification of the thermal behaviour of low consumption buildings. These buildings are known to have a two-time scale structure, which, if not handled properly, results in poor conditioning of the parametric identification. We compare three identification methods, one uses the data on the whole frequency domain (ARX) when the other methods use the same data but separated on local frequency domain (time scaled methods). All three methods identify a reduced second order model. Robustness is tested by corrupting the input and output before the identification, and comparing the simulation results for the various models and the original uncorrupted input. The numerical results clearly show that the time scaled methods are superior both in accuracy (noise free identification and simulation) and robustness (when identification is performed on corrupted data).
Type de document :
Communication dans un congrès
Liste complète des métadonnées

Littérature citée [16 références]  Voir  Masquer  Télécharger

https://hal-mines-paristech.archives-ouvertes.fr/hal-00549032
Contributeur : François Chaplais <>
Soumis le : mardi 21 décembre 2010 - 10:28:01
Dernière modification le : jeudi 24 septembre 2020 - 17:04:18
Archivage à long terme le : : mardi 22 mars 2011 - 02:45:39

Fichier

ThermalBuildingIdentification....
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Citation

Paul Malisani, François Chaplais, Nicolas Petit, Dominique Feldman. Thermal building model identification using time-scaled identification methods. 49th IEEE Conference on Decision and Control, Jul 2010, Atlanta, United States. pp.308-315, ⟨10.1109/CDC.2010.5717975⟩. ⟨hal-00549032⟩

Partager

Métriques

Consultations de la notice

436

Téléchargements de fichiers

463