Simulation Based Model Experimentation with Minimum Solving Strategy

Article Preview

Abstract:

The process of model experimentation can be regarded as repeatedly evaluating simulation models by varying parameters of the model. At present, the solvers of simulation tools usually need to calculate all the coupling blocks during every simulating run after parameters varying. In order to greatly improve the efficiency of the process of repetitious simulation, a new method named minimum solving strategy is proposed and implemented. By this method, carrying out model experimentation with different parameters values only need to calculate the solving sequence influenced by parameters altering.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 97-101)

Pages:

2851-2854

Citation:

Online since:

March 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] L. Petzold, In: Proceedings of 10th IMACS World Congress, Montreal (1982), pp.430-432.

Google Scholar

[2] H. Elmqvist, H. Olsson, S. E. Mattsson and D. Brück, in: the 4th International Modelica Conference, (2005), pp.253-266.

Google Scholar

[3] C. Emanuele, M. Claudio: Mathematics and Computers in Simulation, Vol. 46 (1998), pp.133-150.

Google Scholar

[4] P. Bunus, P. Fritzson, in: Proceedings of the 18th IEEE International Conference on Automated Software Engineering, Montreal, Canada (2003), pp.1527-1366.

Google Scholar

[5] Information on http: /www. modelica. org.

Google Scholar