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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Online Access: | https://doi.org/10.2478/amcs-2019-0024 |
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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 |
_version_ |
1717766990313029632 |