Accelerated Simulation of Discrete Event Dynamic Systems via a Multi-Fidelity Modeling Framework

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 241
  • Download : 56
Simulation analysis has been performed for simulation experiments of all possible input combinations as a "what-if" analysis, which causes the simulation to be extremely time-consuming. To resolve this problem, this paper proposes a multi-fidelity modeling framework for enhancing simulation speed while minimizing simulation accuracy loss. A target system for this framework is a discrete event dynamic system. The dynamic property of the system facilitates the development of variable fidelity models for the target system due to its high computational cost; and the discrete event property allows for determining when to change the fidelity within a simulation scenario. For formal representation, the paper defines several key concepts such as an interest region, a fidelity change condition, and a selection model. These concepts are integrated into the framework to allow for the achievement of a condition-based disjunction of high-and low-fidelity simulations within a scenario. The proposed framework is applied to two case studies: unmanned underwater and urban transportation vehicles. The results show that simulation speed increases at least 1.21 times with a 5% accuracy loss. We expect that the proposed framework will resolve a computationally expensive problem in the simulation analysis of discrete event dynamic systems.
Publisher
MDPI AG
Issue Date
2017-10
Language
English
Article Type
Article
Citation

APPLIED SCIENCES-BASEL, v.7, no.10

ISSN
2076-3417
DOI
10.3390/app7101056
URI
http://hdl.handle.net/10203/227212
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
applsci-07-01056-v2 (1).pdf(6.47 MB)Download

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0