Paper
20 June 1997 Semiautomated method for dynamic model abstraction
Kangsun Lee, Paul A. Fishwick
Author Affiliations +
Abstract
As complex models are used in practice, modelers require efficient ways of abstracting their models. Through the use of hierarchy, we are able to simplify and organize the complex system. The problem with the hierarchical modeling is that system components in each level are dependent on the next- lowest level so that we are unable to run each level independently. We present a way to augment hierarchical modeling where abstraction can take place on two fronts: structural and behavioral. Our approach is to use structural abstraction in order to organize the system hierarchically, and then apply behavioral abstraction to each level in order to approximate lower level's behavior so that it can be executed independently. The proposed abstraction method is done by semi-automatic way and gives advantages to view and analyze complex systems at different levels of abstraction.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kangsun Lee and Paul A. Fishwick "Semiautomated method for dynamic model abstraction", Proc. SPIE 3083, Enabling Technology for Simulation Science, (20 June 1997); https://doi.org/10.1117/12.276728
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Systems modeling

Neural networks

Data modeling

Mathematical modeling

System identification

Argon

Complex systems

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