Article | Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany | An Advanced Environment for Hybrid Modeling and Parameter Identification of Biological Systems Linköping University Electronic Press Conference Proceedings
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Title:
An Advanced Environment for Hybrid Modeling and Parameter Identification of Biological Systems
Author:
Sabrina Proß: University of Applied Sciences Bielefeld, Germany Bernhard Bachmann: University of Applied Sciences Bielefeld, Germany
DOI:
10.3384/ecp11063557
Download:
Full text (pdf)
Year:
2011
Conference:
Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany
Issue:
063
Article no.:
063
Pages:
557-571
No. of pages:
15
Publication type:
Abstract and Fulltext
Published:
2011-06-30
ISBN:
978-91-7393-096-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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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.

Keywords: Biological Systems; Petri nets; Parame-ter Identification

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

Author:
Sabrina Proß, Bernhard Bachmann
Title:
An Advanced Environment for Hybrid Modeling and Parameter Identification of Biological Systems
DOI:
http://dx.doi.org/10.3384/ecp11063557
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Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Author:
Sabrina Proß, Bernhard Bachmann
Title:
An Advanced Environment for Hybrid Modeling and Parameter Identification of Biological Systems
DOI:
https://doi.org10.3384/ecp11063557
Note: the following are taken directly from CrossRef
Citations:
  • Sabrina Pro & Bernhard Bachmann (2012). Hybrid Modelling and Process Optimization of Biological Systems. IFAC Proceedings Volumes, 45(2): 1041. DOI: 10.3182/20120215-3-AT-3016.00184


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