Parametric analysis of non-linear suspension system by optimal MR damper by rider model with sensor
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00852-6.pdf
Reference32 articles.
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3. Boada, M. J. L., Calvo, J. A., Boada, B. L., & Díaz, V. (2011). Modelling of a magnetorheological damper by recursive lazy learning. International Journal of Non-Linear Mechanics, 46(3), 479–485.
4. Boreiry, M., Ebrahimi-Nejad, S., & Marzbanrad, J. (2019). Sensitivity analysis of chaotic vibrations of a full vehicle model with magnetorheological damper. Chaos, Solitons & Fractals, 127, 428–442.
5. Dai, L., Fang, C., Lu, H., Liu, X., Hua, D., & Yang, Y. (2023). Research on structure design and control method of magnetorheological suspension based on improved fruit fly optimization algorithm. Machines, 11(2), 273.
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