Structural and parametric identification of soft sensors models for process plants based on robust regression and information criteria

DOI10.1134/S0005117917040130zbMath1365.93520OpenAlexW2605716373MaRDI QIDQ2362383

A. V. Kozlov, S. A. Samotylova, N. B. Digo, G. B. Digo, A. Yu. Torgashov

Publication date: 7 July 2017

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0005117917040130

zbMATH Keywords

parametric identificationrobust regressionstructural identificationinformation criteriasoft sensors (SS)

Mathematics Subject Classification ID

Production models (90B30) Estimation and detection in stochastic control theory (93E10) Canonical structure (93B10) Identification in stochastic control theory (93E12) Observability (93B07)

Related Items (1)

Предсказательное моделирование массообменного технологического объекта с использованием алгоритма чередующихся условных математических ожиданий

Cites Work

• Robust regression using iteratively reweighted least-squares
• Applied Regression Analysis

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