Article | Proceedings of the 5th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools; April 19; University of Nottingham; Nottingham; UK | Using Artificial States in Modeling Dynamic Systems: Turning Malpractice into Good Practice
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Title:
Using Artificial States in Modeling Dynamic Systems: Turning Malpractice into Good Practice
Author:
Dirk Zimmer: German Aerospace Center (DLR), Institute of System Dynamics and Control, Germany
Download:
Full text (pdf)
Year:
2013
Conference:
Proceedings of the 5th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools; April 19; University of Nottingham; Nottingham; UK
Issue:
084
Article no.:
009
Pages:
77-85
No. of pages:
9
Publication type:
Abstract and Fulltext
Published:
2013-03-27
ISBN:
978-91-7519-621-3 (print)
978-91-7519-617-6 (online)
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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This paper analyzes the current use of artificial states in modeling practice and proposes a new form of equations for the purpose of modeling dynamic systems. These balance dynamics equations are used to formulate dynamic processes that help to find the solution of non-linear systems of equations.

Keywords: artificial states; continuation methods; language design.

Proceedings of the 5th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools; April 19; University of Nottingham; Nottingham; UK

Author:
Dirk Zimmer
Title:
Using Artificial States in Modeling Dynamic Systems: Turning Malpractice into Good Practice
References:

[1] Eugene L. Allgower and Kurt Georg. Introduction to Numerical Continuation Methods; SIAM Classics in Applied Mathematics 45. 2003.


[2] U. Ascher; H. Huang; and K. van den Doel. Artificial Time Integration. BIT Numerical Mathematics; 47(1): 3-25; 2007.


[3] Dymola: available at www.dymola.com


[4] The Modelica Association. Modelica¬ģ A Unified Object-Oriented Language for Systems Modeling - Language Specification Version 3.3; Available at www.modelica.org; 2012


[5] PyCont available at: www2.gsu.edu/~matrhc/PyCont.html


[6] Rolls Royce. The Jet Engine. Rolls Royce Plc. Derby England. 278p. 1996.


[7] M. Sielemann; T. Giese; B. Oehler; M. Gräber; Optimization of an Unconventional Environmental Control System Architecture. In: SAE International Journal of Aerospace; 4(2):1263-1275. 2011


[8] M. Sielemann et. al.; Robust Initialization of Differential-Algebraic Equations Using Homotopy. In: Proceedings of 8th International Modelica Conference. Dresden; Germany; 2011


[9] M. Sielemann and G. Schmitz; A quantitative metric for robustness of nonlinear algebraic equation solvers. In: Mathematics and Computers in Simulation; 81 (12); pp 2673-2687. Elsevier; 2011.


[10] D. Zimmer and D. Schlabe; Implementation of a Modelica Library for Energy Management based on Economic Models. Proceedings of the 9th International Modelica Conference ; Munich; Germany (2012)


[11] D. Zimmer; Equation-Based Modeling of Variable Structure Systems. PhD Thesis; ETH Z√ľrich; 219 p. 2010

Proceedings of the 5th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools; April 19; University of Nottingham; Nottingham; UK

Author:
Dirk Zimmer
Title:
Using Artificial States in Modeling Dynamic Systems: Turning Malpractice into Good Practice
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