Conference article

An Advanced Environment for Hybrid Modeling and Parameter Identification of Biological Systems

Sabrina Proß
University of Applied Sciences Bielefeld, Germany

Bernhard Bachmann
University of Applied Sciences Bielefeld, Germany

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Published in: Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Linköping Electronic Conference Proceedings 63:63, s. 557-571

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Published: 2011-06-30

ISBN: 978-91-7393-096-3

ISSN: 1650-3686 (print), 1650-3740 (online)


Biological systems are often very complex so that an appropriate formalism is needed for modeling their behavior. Hybrid Petri nets; consisting of time-discrete as well as continuous Petri net elements; have proven to be ideal. This formalism was implemented based on the Modelica language. Several Petri net components are structured within an advanced Petri net library. A special sub library contains so-called wrappers for specific biological reac-tions to simplify the modeling procedure.

The Petri net models developed with the Dymola tool can be connected to Matlab Simulink to use all the Matlab power for parameter identification; sensitivity analysis and stochastic simulation.

This paper illustrates the usage of the Petri net library; the coupling to Matlab Simulink and further processing of the simulation results with algorithms in Matlab. In addition; the application is demonstrated by modeling the metabolism of Chinese Hamster Ovary Cells.


Biological Systems; Petri nets; Parame-ter Identification


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