Design of inferential sensors in the process industry: A review of Bayesian methods

S Khatibisepehr, B Huang, S Khare - Journal of Process Control, 2013 - Elsevier
In many industrial plants, development and implementation of advanced monitoring and
control techniques require real-time measurement of process quality variables. However, on …

Advances and selected recent developments in state and parameter estimation

C Kravaris, J Hahn, Y Chu - Computers & chemical engineering, 2013 - Elsevier
This paper deals with two topics from state and parameter estimation. The first contribution of
this work provides an overview of techniques used for determining which parameters of a …

Mathematical modelling of chemical processes—obtaining the best model predictions and parameter estimates using identifiability and estimability procedures

KAP McLean, KB McAuley - The Canadian Journal of Chemical …, 2012 - Wiley Online Library
Chemical engineers who develop fundamental models often have difficulties estimating all
model parameters due to problems with parameter identifiability and estimability. These two …

Enterprise engineering and management at the crossroads

P Bernus, T Goranson, J Gøtze, A Jensen-Waud… - Computers in …, 2016 - Elsevier
The article provides an overview of the challenges and the state of the art of the discipline of
Enterprise Architecture (EA), with emphasis on the challenges and future development …

Mean squared error criterion for model-based design of experiments with subset selection

B Kim, KH Ryu, S Heo - Computers & Chemical Engineering, 2022 - Elsevier
Abstract Model-based design of experiments (MBDoE) has been widely used for efficient
development of mathematical models, which can then be used for various applications for …

Global sensitivity based estimability analysis for the parameter identification of Pitzer's thermodynamic model

I Bouchkira, AM Latifi, L Khamar… - Reliability Engineering & …, 2021 - Elsevier
This paper deals with parameter estimability analysis and identification of the Pitzer model
used in the prediction of thermodynamic properties and phase equilibria of electrolytic …

[HTML][HTML] A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application

A Tuveri, CSM Nakama, J Matias, HE Holck… - Computers & Chemical …, 2023 - Elsevier
Due to the lack or high costs of measurement devices to monitor and control metabolites in
microbial cultivation processes, state estimators are often required. These estimators …

Parameter subset selection for power system model calibration using both sensitivity and identifiability

L Wang, J Qi - IEEE Access, 2024 - ieeexplore.ieee.org
In power systems, it is essential to ensure that the dynamic model predictions align with the
actual measurements, which is usually achieved through model calibration. Due to …

Parameter estimation with improved model prediction for over-parametrized nonlinear systems

W Chen, B Wang, LT Biegler - Computers & Chemical Engineering, 2022 - Elsevier
Parameter estimation is a crucial step in system modeling. In practice, the fundamental
models developed by chemical engineers are often complex. There may be parameters that …

Mean-squared-error methods for selecting optimal parameter subsets for estimation

KAP McLean, S Wu, KB McAuley - Industrial & Engineering …, 2012 - ACS Publications
Engineers who develop fundamental models for chemical processes are often unable to
estimate all of the parameters, especially when available data are limited or noisy. In these …