Parameter subset selection and biased estimation for a class of ill-conditioned estimation problems-Reference-Cited by-同舟云学术

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Parameter subset selection and biased estimation for a class of ill-conditioned estimation problems

Published:2019-09 Issue: Volume:81 Page:65-75
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Kim Boeun,Lee Jay H.

Funder

Advanced Biomass R&D Center (ABC) of Global Frontier Project funded by the Ministry of Science and ICT

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference44 articles.

1. Robust and efficient parameter estimation in dynamic models of biological systems;Gábor;BMC Syst. Biol.,2015

2. Model-based design of experiments for parameter precision: state of the art;Franceschini;Chem. Eng. Sci.,2008

3. Mathematical modelling of chemical processes—obtaining the best model predictions and parameter estimates using identifiability and estimability procedures;McLean;Can. J. Chem. Eng.,2012

4. On structural identifiability;Bellman;Math. Biosci.,1970

5. Nonlinear ill-posed problem analysis in model-based parameter estimation and experimental design;Lopez;Comput. Chem. Eng.,2015

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