Parameter identification of multibody vehicle models using neural networks-Reference-Cited by-同舟云学术

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Parameter identification of multibody vehicle models using neural networks

Published:2023-11-03 Issue: Volume: Page:
ISSN:1384-5640
Container-title:Multibody System Dynamics
language:en
Short-container-title:Multibody Syst Dyn

Author:

Hobusch Salim,Nikelay Ilker,Nowakowski Christine,Woschke Elmar

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Modeling and Simulation

Link

https://link.springer.com/content/pdf/10.1007/s11044-023-09950-4.pdf

Reference35 articles.

1. Aggarwal, C.C.: Neural Networks and Deep Learning: A Textbook. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-94463-0

2. Aguir, H., BelHadjSalah, H., Hambli, R.: Parameter identification of an elasto-plastic behaviour using artificial neural networks–genetic algorithm method. Mater. Des. 32(1), 48–53 (2011). https://doi.org/10.1016/j.matdes.2010.06.039

3. Brunton, S.L., Kutz, J.N.: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control. Cambridge University Press, Cambridge (2019). https://doi.org/10.1017/9781108380690

4. Carvalho, M., Ambrósio, J.: Identification of multibody vehicle models for crash analysis using an optimization methodology. Multibody Syst. Dyn. 24(3), 325–345 (2010). https://doi.org/10.1007/s11044-010-9221-z

5. Cianetti, F., Garzia, R., Palmieri, M., Ambrogi, F., Braccesi, C.: An estimation model of suspension loads in explicit multibody simulation. IOP Conf. Ser., Mater. Sci. Eng. 1038(1), 012042 (2021). https://doi.org/10.1088/1757-899X/1038/1/012042

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