[2] Gerdes, J. C., & Hedrick, J. K. (1999). Brake System Modeling for Simulation and Control.
Journal of Dynamic Systems, Measurement, and Control,
121(3), 496-503.
https://doi.or g/10.1115/1.2802501
[4] Khan, Y., Kulkarni, P., & Youcef-Toumi, K. (1994). Modeling, Experimentation and Simulation of a Brake Apply System.
Journal of Dynamic Systems, Measurement, and Control,
116(1), 111-122.
https://doi.org/10.1115/1.2900665
[5] Ho, H. P., Day, A., Hussain, K., & Johnstone, A. (2007, April 23-25).
Modelling and Simulation of The Characteristics of an Hydraulic Brake Master Cylinder. 21st International Automotive Conference "Science & Motor Vehicles 07", Belgrade, Serbia.
https://go.fisita.com/stor e/papers/science-&-motorvehicles07/01_day_ho
[6] Harifi, A., Aghagolzadeh, A., Alizadeh, G., & Sadeghi, M. (2008). Designing a sliding mode controller for slip control of antilock brake systems.
Transportation Research Part C: Emerging Technologies,
16(6), 731-741.
https://doi.org/10.1016/j.trc.2008. 02.003
[7] Kuang, M. L., Fodor, M., Hrovat, D., & Tran, M. (1999, June 2-4).
Hydraulic brake system modeling and control for active control of vehicle dynamics. Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), San Diego, CA, USA.
https://doi. org/10.1109/ACC.1999.786447
[8] Challa, A., Ramakrushnan, K., Subramanian, S. C., Vivekanandan, G., & Sivaram, S. (2020). Analysis Of Thresholds In Rule-Based Antilock Braking Control Algorithms.
International Federation of Automatic Control-PapersOnLine,
53(1), 404-409.
https://d oi.org/10.1016/j.ifacol.2020.06.068
[9] Benine-Neto, A., Moreau, X., & Lanusse, P. (2017). Robust control for an electro-mechanical anti-lock braking system: the CRONE approach.
International Federation of Automatic Control -PapersOnLine,
50(1), 12575-12581.
https://doi.org/10.1016/j.ifacol.2017.08.2 198
[10] Chen, M. Q., Liu, W. S., Ma, Y. Z., Wang, J., Xu, F. R., & Wang, Y. J. (2018). Mixed Slip-Deceleration PID Control of Aircraft Wheel Braking System.
International Federation of Automatic Control -PapersOnLine,
51(4), 160-165.
https://doi.org/10 .1016/j.ifacol.2018.06.059
[11] Vogt, P., Lenz, E., Klug, A., Westerfeld, H., & Konigorski, U. (2019). Robust Two-Degree-of-Freedom Wheel Slip Controller Structure for Anti-lock Braking.
International Federation of Automatic Control -PapersOnLine,
52(5), 431-437.
http s://doi.org/10.1016/j.ifacol.201 9.0 9.069
[12] Fernández, J. P., Alcázar Vargas, M. G., Velasco García, J. M., Cabrera Carrillo, J. A., & Castillo Aguilar, J. J. (2021). Influence of tire dynamics on a braking process with ABS.
Transportation Research Procedia,
58, 189-192.
https://doi.org/10.1016/j.trp ro.2021.11.026
[13] N. Elghitany, M., Tolba, F., & Mohamed Abdelkader, A. (2022). Low Vehicle Speeds Regenerative Anti-lock Braking System.
Ain Shams Engineering Journal,
13(2), 101570.
https://doi.org/10.1016/j.asej.2021.08.013
[17] Wit, C. C. d., & Tsiotras, P. (1999, December 7-10).
Dynamic tire friction models for vehicle traction control. Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304), Phoenix, AZ, USA.
https://doi.org/10.1109/CDC.19 99.827937
[18] Canudas de Wit, C., Horowitz, R., & Tsiotras, P. (1999). Model-based observers for tire/road contact friction prediction. In Nijmeijer, H. & Fossen, T. I. (Eds.), New Directions in nonlinear observer design. Springer London.
https://doi.org/10.1007/ BFb0109919
[20] Fangjun, J., & Zhiqiang, G. (2000, September 27).
An adaptive nonlinear filter approach to the vehicle velocity estimation for ABS. Proceedings of the 2000. IEEE International Conference on Control Applications. Conference Proceedings (Cat. No.00CH37162), Anchorage, AK, USA.
https://doi.org/10.1109/CCA.2000.897472