Model-based identifiable parameter determination applied to a simultaneous saccharification and fermentation process model for bio-ethanol production

In this work, a methodology for the model-based identifiable parameter determination (MBIPD) is presented. This systematic approach is proposed to be used for structure and parameter identification of nonlinear models of biological reaction networks. Usually, this kind of problems are over-parameter...

Full description

Autores:
Diana C. Lopez C
Tilman Barz
Mariana Peñuela
Villegas Quiceno, Adriana Patricia
Tipo de recurso:
Article of journal
Fecha de publicación:
2013
Institución:
Universidad Cooperativa de Colombia
Repositorio:
Repositorio UCC
Idioma:
OAI Identifier:
oai:repository.ucc.edu.co:20.500.12494/41369
Acceso en línea:
https://doi.org/10.1002/btpr.1753
https://hdl.handle.net/20.500.12494/41369
Palabra clave:
Bio-ethanols
Identifiability analysis
Ill posed problem
Non-linear least squares
Parameter subsets
Sugar-cane bagasse
Algorithms
Bioethanol
Fermentation
Inverse problems
Parameter estimation
Iterative methods
alcohol
algorithm
article
bio-ethanol
biological model
biotechnology
fermentation
identifiability analysis
ill-posed problem
metabolism
nonlinear least squares parameter estimation
nonlinear system
parameter subset selection
SSF process
sugarcane bagasse
bio-ethanol
identifiability analysis
ill-posed problem
nonlinear least squares parameter estimation
parameter subset selection
SSF process
sugarcane bagasse
Algorithms
Biotechnology
Ethanol
Fermentation
Models
Biological
Nonlinear Dynamics
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb