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General Information
    • ISSN: 2010-3700
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Engineering & Technology Digital Library, Google Scholar, Crossref, ProQuest, Electronic Journals Library, DOAJ and EI (INSPEC, IET).
    • E-mail: ijmlc@ejournal.net
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(2): 123-130 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.100

HLA Based Collaborative Simulation with MATLAB Seamlessly Embedded

Wei Xiong, Pengshan Fan and Hengyuan Zhang

Abstract—In order to build multi-domain collaborative simulation systems, the method of making MATLAB programs join into HLA/RTI based distributed interaction simulation system is need to be studied. Aiming at giving full play to the advantages of MATLAB in engineering computing and visualization, improving the efficiency of collaborative simulation systems, this paper proposed a method making MATLAB programs and SIMULINK modules seamlessly join into HLA/RTI based simulation system. The principles and designs of the main modules are elaborated, and the codes automatic generation orienting the method is also introduced. The demonstrations and testing results show that the method could fully exert the simulation functions of MATLAB, and has advantage in simulation efficiency over existing methods.

Index Terms—Software integration, HLA, Collaborative simulation, MATLAB.

Wei Xiong and Pengshan Fanare with the Academy of Equipment, Huairou, Beijing, China (e-mail: 13331094335@189.com; fpspengshan@163.com).
Hengyuan Zhang is with School of Computer Science and Engineering, Beihang University, Haidian, Beijing, China (e-mail: zhanghy@vrlab.buaa.edu.cn).

[PDF]

Cite: Wei Xiong, Pengshan Fan and Hengyuan Zhang, "HLA Based Collaborative Simulation with MATLAB Seamlessly Embedded," International Journal of Machine Learning and Computing vol. 2, no. 2, pp. 123-130, 2012.

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