JOURNAL ARTICLE

<title>Theory of quantized systems: formal basis for DEVS/HLA distributed simulation environment</title>

Bernard P. ZeiglerJ. S. Lee

Year: 1998 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 3369 Pages: 49-58   Publisher: SPIE

Abstract

In the context of a DARPA ASTT project, we are developing an HLA-compliant distributed simulation environment based on the DEVS formalism. This environment will provide a user- friendly, high-level tool-set for developing interoperable discrete and continuous simulation models. One application is the study of contract-based predictive filtering. This paper presents a new approach to predictive filtering based on a process called 'quantization' to reduce state update transmission. Quantization, which generates state updates only at quantum level crossings, abstracts a sender model into a DEVS representation. This affords an alternative, efficient approach to embedding continuous models within distributed discrete event simulations. Applications of quantization to message traffic reduction are discussed. The theory has been validated by DEVSJAVA simulations of test cases. It will be subject to further test in actual distributed simulations using the DEVS/HLA modeling and simulation environment.© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Keywords:
DEVS Computer science High-level architecture Quantization (signal processing) Interoperability Embedding Modeling and simulation Spurious relationship Distributed computing Theoretical computer science Computer engineering Algorithm Simulation Artificial intelligence Machine learning

Metrics

87
Cited By
4.26
FWCI (Field Weighted Citation Impact)
1
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Simulation Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Scientific Computing and Data Management
Social Sciences →  Decision Sciences →  Information Systems and Management

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