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Forward Sim HLA Toolboxâ„¢ & HLA Blocksetâ„¢

Forward Sim HLA Toolboxâ„¢ & HLA Blocksetâ„¢

HLA Toolboxâ„¢

The HLA Toolbox™ is the MATLAB® interface to the High Level Architecture standards, HLA 1.3 and IEEE 1516 for distributed simulation. Designed to improve organization efficiency to participate in multinational simulations or to implement distributed simulation locally, the HLA Toolbox™ greatly simplifies federation development.

Federate common interactions with the Run Time Infrastructure (RTI) can easily be implemented using the graphical user interface (hlaGUI) to generate the required m-files. The hlaGUI also provide an organized tree structure for Federation Object Model (FOM) visualization used to identify the Attributes and Interactions your federate will publish and/or subscribe. The m-code generated by the HLA Toolboxâ„¢ interface can be customized to implement the specifics of your model using any of the RTI services.

The HLA Toolbox™ accelerates federation implementation and enables the use of MATLAB® and its Toolboxes at the federate development level. Matlab® development features such as the debugger, the profiler, M-Lint code checker, the Graphical User Interface Development Environment (GUIDE), the visualization tools (2D & 3D) and all the data analysis capabilities are just a few of the advantages you get by developing your HLA federates in MATLAB.

HLA Blocksetâ„¢

The HLA Blockset™ provides a library of Simulink® blocks specifically designed for the integration of HLA services into Simulink®. Using the HLA Blockset, you can connect your Simulink models to a distributed simulation using the High Level Architecture standard HLA 1.3 or IEEE 1516.

Features include easy configuration, high level interface to minimize implementation time, auto type conversion and vector support.

Within minutes, transform your Simulink model into a live interactive application exchanging information with other software components without programming language or operating system constraint. Apply changes to your model and simply execute the new model for impact analysis.



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