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New results about the identifiability of linear open bicompartmental homogeneous system and the identification of open Michaelis‐Menten system by a linear approach

B. Hebri (Faculty of Mathematics, U.S.T.H.B., El Alia, Alger, Algeria)
Y. Cherruault (Pierre & Marie Curie University, MEDIMAT Paris, France)

Kybernetes

ISSN: 0368-492X

Article publication date: 1 August 2005

106

Abstract

Purpose

To prove two results. Namely that if in a linear homogeneous bicompartmental system one compartment is measured then it is indefinable. The second one is related to the identification of non‐linear compartmental models by mean of a linear method.

Design/methodology/approach

The first result is generalized to linear non‐homogeneous bicompartmental systems of Michaelis‐Menten (M‐M systems). The second one is related to the identification of a non‐linear compartmental model. The obtained linear system is not homogeneous and must be generalized to nonhomogeneous systems. Then the Jacobian matrix associated to the M‐M systems is identified and the M‐M parameters are deduced by continuity from the Cauchy problem's solution.

Findings

Both stated results were proved and any open linear bicompartmental system whether homogeneous or not, of the type I is identifiable.

Research limitations/implications

In compartmental analysis the exchange hypothesis allows us to represent a model of any phenomenon depending on time. Many phenomena require “the enzyme reactions” leading to the M‐M laws. These laws assert that the quantity of matter going from compartment can be defined and M‐M constants prescribed. This research considers both homogeneous and nonhomogeneous systems cases.

Practical implications

Contributes to the identification of linear and non‐linear bicompartmental systems which are of biocybernetical significance.

Originality/value

The two proven results are new and applicable.

Keywords

Citation

Hebri, B. and Cherruault, Y. (2005), "New results about the identifiability of linear open bicompartmental homogeneous system and the identification of open Michaelis‐Menten system by a linear approach", Kybernetes, Vol. 34 No. 7/8, pp. 1159-1186. https://doi.org/10.1108/03684920510605957

Publisher

:

Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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