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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …