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IJMLC 2020 Vol.10(1): 176-181 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2020.10.1.916

Development of an Encapsulator for Interoperability of Non-HLA Based MATLAB Programs (SIMULINK or M-file) to HLA Based Simulations

Sangha Choi, Wooshik Kim, and Sugjoon Yoon

Abstract—MATLAB has been widely used for providing a variety of functions and tools in engineering computing, numerical analysis, modeling and visualization. In particular, through SIMULINK, MATLAB has advantages for M&S (modeling & simulation). HLA is general M&S standard for interoperability and reusability. There is no program that fully supports for linking non-HLA based MATLAB programs into HLA based simulation. In order to build multi-domain interactive simulation system, the encapsulation program for linking non-HLA based MATLAB programs into HLA based simulation is in need of study. In this paper, we propose to structure an encapsulator for interoperability of non-HLA based MATLAB programs (SIMULINK or M-file) to HLA based Simulations. We introduce basic design and implement the encapsulator and show the experiment result in which the encapsulator links Non-HLA based MATLAB programs into HLA based simulation.

Index Terms—HLA, RTI, encapsulator, simulation.

Sangha Choi and Wooshik Kim are with the Department of Electronics, Information and Communication Engineering, Sejong University (e-mail: oldood@naver.com, wskim@sejong.ac.kr).
Sugjoon Yoon is with Department of Aerospace Engineering, Sejong University (e-mail: sjyoon@sejong.ac.kr).

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Cite: Sangha Choi, Wooshik Kim, and Sugjoon Yoon, "Development of an Encapsulator for Interoperability of Non-HLA Based MATLAB Programs (SIMULINK or M-file) to HLA Based Simulations," International Journal of Machine Learning and Computing vol. 10, no. 1, pp. 176-181, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

 

General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • Frequency: Quaterly
  • DOI: 10.18178/IJML
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals LibraryCNKI.
  • E-mail: ijml@ejournal.net


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