Accelerated Simulation of Discrete Event Dynamic Systems via a Multi-Fidelity Modeling Frameworkopen access
- Authors
- Choi, Seon Han; Seo, Kyung-Min; Kim, Tag Gon
- Issue Date
- Oct-2017
- Publisher
- MDPI
- Keywords
- system modeling; simulation analysis; simulation speedup; discrete event dynamic system; differential equation; discrete event system specification (DEVS)
- Citation
- Applied Sciences-basel, v.7, no.10, pp 1 - 23
- Pages
- 23
- Indexed
- SCIE
SCOPUS
- Journal Title
- Applied Sciences-basel
- Volume
- 7
- Number
- 10
- Start Page
- 1
- End Page
- 23
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114887
- DOI
- 10.3390/app7101056
- ISSN
- 2076-3417
- Abstract
- 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.
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