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.
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