Geodesic
Predictive modeling of mass-transfer technological plant using an algorithm of alternating conditional expectations
Matematičeskoe modelirovanie, Tome 32 (2020) no. 3, pp. 127-142

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The task of predictive modelling under conditions of nonlinearity of a mass-transfer plant (MTP) on the basis of experimental data is considered. To analyze the structural identifiability of the process under study and identify factors that affect the accuracy of the structural identifiability index with an unknown model structure, a technique based on an alternating conditional expectation (ACE) algorithm with a threshold value for the structural identifiability index of the MTP model is proposed. The threshold value of the structural identifiability index is determined based on the analytical model of the object. That is taking into account the physico-chemical characteristics of the MTP. The proposed approach is illustrated using synthetic data and experimental data.
Mots-clés : ACE algorithm, mass-transfer plant
Keywords: index of structural identifiability, predictive modeling. 
@article{MM_2020_32_3_a7,
     author = {I. S. Mozharovsky and S. A. Samotylova and A. Yu. Torgashov},
     title = {Predictive modeling of mass-transfer technological plant using an algorithm of alternating conditional expectations},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {127--142},
     publisher = {mathdoc},
     volume = {32},
     number = {3},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_2020_32_3_a7/}
}
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I. S. Mozharovsky; S. A. Samotylova; A. Yu. Torgashov. Predictive modeling of mass-transfer technological plant using an algorithm of alternating conditional expectations. Matematičeskoe modelirovanie, Tome 32 (2020) no. 3, pp. 127-142. http://geodesic.mathdoc.fr/item/MM_2020_32_3_a7/