Difficulties in the application of sequential experimental design to kinetic model discrimination and parameter estimation

1991 ◽  
Vol 30 (4) ◽  
pp. 639-645 ◽  
Author(s):  
L. Petrov ◽  
A. Eliyas ◽  
C. Maximov
Keyword(s):  
Parameter Estimation ◽  
Experimental Design ◽  
Kinetic Model ◽  
Model Discrimination

Experimental design for the joint model discrimination and precise parameter estimation through information measures

2011 ◽  
Vol 66 (9) ◽  
pp. 1940-1952 ◽  
Author(s):  
André L. Alberton ◽  
Marcio Schwaab ◽  
Marcos Wandir Nery Lobão ◽  
José Carlos Pinto
Keyword(s):  
Parameter Estimation ◽  
Experimental Design ◽  
Joint Model ◽  
Model Discrimination ◽  
Information Measures

scholarly journals Digitalization of Reaction Engineering - An Automated Computational Approach to Kinetic Model Discrimination and Parameter Estimation

2021 ◽  
Author(s):  
Connor Jack Taylor ◽  
Hikaru Seki ◽  
Friederike M. Dannheim ◽  
Mark J. Willis ◽  
Graeme Clemens ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Kinetic Model ◽  
Chemical Reaction ◽  
Reaction Network ◽  
Computational Approach ◽  
Reaction Engineering ◽  
Chemical Reaction Network ◽  
Model Discrimination

We herein report experimental applications of a novel, automated computational approach to chemical reaction network (CRN) identification. This report shows the first chemical applications of an autonomous tool to identify...

scholarly journals Constrained Parameter Estimation for a Mechanistic Kinetic Model of Cobalt–Hydrogen Electrochemical Competition during a Cobalt Removal Process

Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 387
Author(s):  
Yiting Liang ◽  
Yuanhua Zhang ◽  
Yonggang Li
Keyword(s):  
Parameter Estimation ◽  
Kinetic Model ◽  
Model Parameters ◽  
Hydrogen Ions ◽  
Removal Process ◽  
Cobalt Removal ◽  
Estimation Scheme ◽  
Zinc Hydrometallurgy ◽  
The Impact ◽  
Parameter Estimation Scheme

A mechanistic kinetic model of cobalt–hydrogen electrochemical competition for the cobalt removal process in zinc hydrometallurgical was proposed. In addition, to overcome the parameter estimation difficulties arising from the model nonlinearities and the lack of information on the possible value ranges of parameters to be estimated, a constrained guided parameter estimation scheme was derived based on model equations and experimental data. The proposed model and the parameter estimation scheme have two advantages: (i) The model reflected for the first time the mechanism of the electrochemical competition between cobalt and hydrogen ions in the process of cobalt removal in zinc hydrometallurgy; (ii) The proposed constrained parameter estimation scheme did not depend on the information of the possible value ranges of parameters to be estimated; (iii) the constraint conditions provided in that scheme directly linked the experimental phenomenon metrics to the model parameters thereby providing deeper insights into the model parameters for model users. Numerical experiments showed that the proposed constrained parameter estimation algorithm significantly improved the estimation efficiency. Meanwhile, the proposed cobalt–hydrogen electrochemical competition model allowed for accurate simulation of the impact of hydrogen ions on cobalt removal rate as well as simulation of the trend of hydrogen ion concentration, which would be helpful for the actual cobalt removal process in zinc hydrometallurgy.

Model Discrimination and Parameter Identification by an Experimental Design Strategy

1998 ◽  
Vol 31 (8) ◽  
pp. 73-78 ◽  
Author(s):  
R. Takors ◽  
D. Weuster-Botz ◽  
W. Wiechert ◽  
C. Wandrey
Keyword(s):  
Experimental Design ◽  
Parameter Identification ◽  
Design Strategy ◽  
Model Discrimination
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