Parameter Identification and Estimation For Stage–Structured Population Models

A stage-structured population model with unknown parameters is considered. Our purpose is to study the identifiability of the model and to develop a parameter estimation procedure. First, we analyze whether the parameter vector can or cannot uniquely be determined with the knowledge of the input-out...

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Main Authors: Coll Carmen, Sánchez Elena
Format: Article
Language:English
Published: Sciendo 2019-06-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
Online Access:https://doi.org/10.2478/amcs-2019-0024
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spelling doaj-5dcfb7ff1a26482f9307853d0df14a822021-09-06T19:41:09ZengSciendoInternational Journal of Applied Mathematics and Computer Science2083-84922019-06-0129232733610.2478/amcs-2019-0024amcs-2019-0024Parameter Identification and Estimation For Stage–Structured Population ModelsColl Carmen0Sánchez Elena1Institute of Multidisciplinary Mathematics, Polytechnic University of Valencia (UPV), Camino de Vera, 14, 46022Valencia, SpainInstitute of Multidisciplinary Mathematics, Polytechnic University of Valencia (UPV), Camino de Vera, 14, 46022Valencia, SpainA stage-structured population model with unknown parameters is considered. Our purpose is to study the identifiability of the model and to develop a parameter estimation procedure. First, we analyze whether the parameter vector can or cannot uniquely be determined with the knowledge of the input-output behavior of the model. Second, we analyze how the information in the experimental data is translated into the parameters of the model. Furthermore, we propose a process to improve the recursive values of the parameters when successive observation data are considered. The structure of the state matrix leads to an analysis of the inverse of a sum of rank-one matrices.https://doi.org/10.2478/amcs-2019-0024system identificationparameter estimationdynamic populationdiscrete-time systemrank-one matrix
collection DOAJ
language English
format Article
sources DOAJ
author Coll Carmen
Sánchez Elena
spellingShingle Coll Carmen
Sánchez Elena
Parameter Identification and Estimation For Stage–Structured Population Models
International Journal of Applied Mathematics and Computer Science
system identification
parameter estimation
dynamic population
discrete-time system
rank-one matrix
author_facet Coll Carmen
Sánchez Elena
author_sort Coll Carmen
title Parameter Identification and Estimation For Stage–Structured Population Models
title_short Parameter Identification and Estimation For Stage–Structured Population Models
title_full Parameter Identification and Estimation For Stage–Structured Population Models
title_fullStr Parameter Identification and Estimation For Stage–Structured Population Models
title_full_unstemmed Parameter Identification and Estimation For Stage–Structured Population Models
title_sort parameter identification and estimation for stage–structured population models
publisher Sciendo
series International Journal of Applied Mathematics and Computer Science
issn 2083-8492
publishDate 2019-06-01
description A stage-structured population model with unknown parameters is considered. Our purpose is to study the identifiability of the model and to develop a parameter estimation procedure. First, we analyze whether the parameter vector can or cannot uniquely be determined with the knowledge of the input-output behavior of the model. Second, we analyze how the information in the experimental data is translated into the parameters of the model. Furthermore, we propose a process to improve the recursive values of the parameters when successive observation data are considered. The structure of the state matrix leads to an analysis of the inverse of a sum of rank-one matrices.
topic system identification
parameter estimation
dynamic population
discrete-time system
rank-one matrix
url https://doi.org/10.2478/amcs-2019-0024
work_keys_str_mv AT collcarmen parameteridentificationandestimationforstagestructuredpopulationmodels
AT sanchezelena parameteridentificationandestimationforstagestructuredpopulationmodels
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