Model reduction: some results

Simulation is becoming a popular tool, aided by the development of powerful and faster computers, new features like parallel and distributed simulation and easier simulation software that allows to reduce the time to implement a model. In spite of that, the cycle time of a simulation study is still...

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Bibliographic Details
Published inProceedings 31st Annual Simulation Symposium pp. 120 - 125
Main Authors Chwif, L., Barretto, M.R.P., Santoro, M.C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1998
Subjects
Analytical models
Computational modeling
Computer simulation
Concurrent computing
Discrete event simulation
Distributed computing
Mechatronics
Power engineering computing
Reduced order systems
Software tools
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Summary:Simulation is becoming a popular tool, aided by the development of powerful and faster computers, new features like parallel and distributed simulation and easier simulation software that allows to reduce the time to implement a model. In spite of that, the cycle time of a simulation study is still long. The paper presents some remarks on model reduction reasoning and how, through this, the time of a simulation study could be reduced. The discussion is based on the example of Kienbaum and Paul (1994) of the pub problem, using a simplification of their H-ACD representation to describe the original and reduced models. The models are implemented and the results obtained shows their statistical equivalence which suggests the feasibility of this approach.
ISBN:9780818684180
0818684186
ISSN:1080-241X
2331-107X
DOI:10.1109/SIMSYM.1998.668464