Предсказательное моделирование массообменного технологического объекта с использованием алгоритма чередующихся условных математическ

DOI10.20948/mm-2020-03-08zbMath1443.93048OpenAlexW3007025844MaRDI QIDQ5112288

A. Yu. Torgashov, S. A. Samotylova, I. S. Mozharovskiĭ

Publication date: 29 May 2020

Published in: Математическое моделирование (Search for Journal in Brave)

Full work available at URL: http://mathnet.ru/eng/mm4167

zbMATH Keywords

predictive modelingACE algorithmindex of structural identifiabilitymass-transfer plant

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10) Control/observation systems involving computers (process control, etc.) (93C83) Model predictive control (93B45)

Related Items

Adaptation of the structure and parameters of nonlinear soft sensors by the example of an industrial reactive distillation process

Uses Software

• AppliedPredictiveModeling
• ObservabilityTest

Cites Work

• Structural identifiability of the parameters of a nonlinear batch reactor model
• Global identifiability of the parameters of nonlinear systems with specified inputs: A comparison of methods
• Identifiable reparametrizations of linear compartment models
• Structural and parametric identification of soft sensors models for process plants based on robust regression and information criteria
• On the identifiability and distinguishability of nonlinear parametric models
• Applied Predictive Modeling
• Estimating Optimal Transformations for Multiple Regression and Correlation
• A probabilistic algorithm to test local algebraic observability in polynomial time