International Journal of applied mathematics and computer science

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Paper details

Number 2 - June 2019
Volume 29 - 2019

Parameter identification and estimation for stage-structured population models

Carmen Coll, Elena Sánchez

Abstract
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.

Keywords
system identification, parameter estimation, dynamic population, discrete-time system, rank-one matrix

DOI
10.2478/amcs-2019-0024