Implementing biological hybrid systems: Allowing composition and avoiding stiffness

Rodrigo Assar 1, 2, * David James Sherman 3, 4
* Auteur correspondant
3 MAGNOME - Models and Algorithms for the Genome
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : The theory of hybrid systems allows us to model biological functions with many interactive processes, describe complexity and hierarchy levels, and consider behavior law changes. However, we need to develop an implementation to simulate these models. The BioRica framework allows a non-ambiguous implementation, and, as shown here, the QSS method (Quantized States Systems) helps us to approach complex systems in a more efficient way. This method allows us to numerically solve stiff differential equations by separately choosing the temporal partition for each sub-model and variable, depending on how fast it changes over time. With that, one obtains more accurate solutions and decreases the number of computations compared to classic methods. Moreover, QSS does not need to store trajectories and interpolate when mode transitions occur between partition times. Herein, we exhibit a translation from BioRica to QSS models, which preserves the semantics. We implement QSS method with BioRica, and illustrate with applications in Biology, the Tyson model of cell cycle, and examples in Engineering.
Type de document :
Article dans une revue
Applied Mathematics and Computation, Elsevier, 2013
Liste complète des métadonnées
Contributeur : David James Sherman <>
Soumis le : lundi 26 août 2013 - 10:03:21
Dernière modification le : jeudi 11 janvier 2018 - 06:22:12


  • HAL Id : hal-00853997, version 1


Rodrigo Assar, David James Sherman. Implementing biological hybrid systems: Allowing composition and avoiding stiffness. Applied Mathematics and Computation, Elsevier, 2013. 〈hal-00853997〉



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