, Appliquer les entrées nominales sur le procédé

, Atteindre le régime permanent et calculer l'écart entre les sorties prédites et mesurées

, Résoudre un problème d'identification et déterminer les paramètres incertains

, Résoudre le problème d'optimisation en utilisant le modèle mis-à-jour afin de déterminer les nouvelles entrées. k := k + 1 et revenir à l'étape

, Un critère d'arrêt de l'algorithme peut être une valeur faible de l'écart entre les mesures et les prédictions inférieure à une tolérance spécifiée

. Mathématiquement, identification peut être exprimé sous la forme d'un problème d'optimisation qui vise à minimiser l'écart entre les sorties du procédé et du modèle. Ce 5.5 Conclusions Dans ce chapitre, nous avons traité le problème du design d'expériences optimales. Le système non linéaire considéré consiste en un réacteur fermé où la copolymérisation en émulsion du styrène et de l'?-méthylstyrène est mise en jeu. L'approche pour l'identification optimale en boucle fermée a été illustrée par deux cas : la perturbation de la constante de propagation

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