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:

Villegas Quiceno, Adriana patricia

Tipo de recurso:

Article of journal

Fecha de publicación:

2023

Institución:

Universidad Cooperativa de Colombia

Repositorio:

Repositorio UCC

Idioma:

OAI Identifier:

oai:repository.ucc.edu.co:20.500.12494/50060

Acceso en línea:

https://doi.org/10.1002/btpr.1753
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881611828&doi=10.1002%2fbtpr.1753&partnerID=40&md5=ab2e130c83c53679261911f94e3133fb
https://hdl.handle.net/20.500.12494/50060

Palabra clave:

ALCOHOL
ALGORITHM
ALGORITHMS
ARTICLE
BIOETHANOL
BIO-ETHANOL
BIO-ETHANOLS
BIOLOGICAL MODEL
BIOTECHNOLOGY
ETHANOL
FERMENTATION
IDENTIFIABILITY ANALYSIS
ILL POSED PROBLEM
ILL-POSED PROBLEM
INVERSE PROBLEMS
ITERATIVE METHODS
METABOLISM
MODELS, BIOLOGICAL
NONLINEAR DYNAMICS
NON-LINEAR LEAST SQUARES
NONLINEAR LEAST SQUARES PARAMETER ESTIMATION
NONLINEAR SYSTEM
PARAMETER ESTIMATION
PARAMETER SUBSET SELECTION
PARAMETER SUBSETS
SSF PROCESS
SUGARCANE BAGASSE
SUGAR-CANE BAGASSE

Rights

openAccess

License

http://purl.org/coar/access_right/c_abf2