Article Dans Une Revue International Journal of Mineral Processing Année : 1998

Data reconciliation by inequality balance equilibration: a LMI approach

Résumé

A new technique of data reconciliation, applied to validation of measures collected on a system, is suggested in this paper. This approach is based on the inequality constraints describing the hyper space in which the state of the considered system is probably located. We also use the model of the system in which the residuals must, in the same way, be constrained in an hyper space. Finally, the complete problem of reconciliation appears in the form of LMI (linear matrix inequality) and thus can be solved with the software tools that are appropriate to this technique. Some examples show that classical problems of balance equilibration can be solved: total flow balances, partial flow balances, balances with partial measures, consideration of biased measures.

Fichier principal
Vignette du fichier
Mandel_IJMP_1998.pdf (2.75 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-00143275 , version 1 (04-12-2024)

Licence

Identifiants

Citer

Denis Mandel, Ali Abdollahzadeh, Didier Maquin, José Ragot. Data reconciliation by inequality balance equilibration: a LMI approach. International Journal of Mineral Processing, 1998, 53 (3), pp.157-169. ⟨10.1016/S0301-7516(97)00075-6⟩. ⟨hal-00143275⟩
131 Consultations
82 Téléchargements

Altmetric

Partager

  • More