On the Computation of Output Bounds for Compartmental In-Series Models under Parametric Uncertainty

In this work, the problem of obtaining tight output bounds for compartmental in-series models under parametric uncertainty is addressed. It is well-known that current methods used to compute a solution envelope may produce a significant overestimation. However, monotonicity analysis enables us to es...

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Bibliographic Details
Main Authors: Diego de Pereda, Sergio Romero-Vivó, Beatriz Ricarte, Jorge Bondia
Format: Article
Language:English
Published: Bulgarian Academy of Sciences, Institute of Mathematics and Informatics 2012-12-01
Series:Biomath
Subjects:
Online Access:http://www.biomathforum.org/biomath/index.php/biomath/article/view/20
Description
Summary:In this work, the problem of obtaining tight output bounds for compartmental in-series models under parametric uncertainty is addressed. It is well-known that current methods used to compute a solution envelope may produce a significant overestimation. However, monotonicity analysis enables us to estimate a tight solution envelope. Our main aim is to get an equivalent model to the initial one, which is usually non-monotone, by means of a suitable combination of equations. In this new model the system monotonicity with respect to the uncertain parameters depends on the elimination rate values of the original model. If the equivalent model is monotone, no overestimation occurs in the computation of the output bounds.
ISSN:1314-684X
1314-7218