Abstract
Replacing the high-fidelity model with a low-fidelity model can be considered as an availability solution to improve the simulation performance. However, the exciting studies could not cope with the diversity in the type of kinematic objects perfectly. To resolve this problem, we proposed a flexible model framework which can be used to construct the low-fidelity models for the kinematic objects by using the trajectory information received online. The framework could support the low-fidelity model construction for each different kinematic model in the system during simulation experiment execution time, and provides the foundation of a workable solution to further improve the computing and communication performance of kinematic models.
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Acknowledgments
This work was supported in part by the research Project of State Key Laboratory of High-Performance computing of National University of Defense Technology (No. 201303-05).
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Meng, D., Yao, Y., Hu, Tf. (2016). A Model Framework for Supporting Online Construction of Low-Fidelity Kinematic Models. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 643. Springer, Singapore. https://doi.org/10.1007/978-981-10-2663-8_38
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DOI: https://doi.org/10.1007/978-981-10-2663-8_38
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