1. Protivoyuznye ustroystva podvizhnogo sostava / M. D. Fokin, A. A. Loskutov, A. K. Vtorov. M.: Transport, 1970. 102 s.
2. Obobschenie peredovogo opyta tyazhelovesnogo dvizheniya: voprosy vzaimodeystviya kolesa i rel'sa / U. D. Harris; pod obsch. red. S. M. Zaharova, V. M. Bogdanova; per. s angl. S. M. Zaharova, S. S. Karceva, V. L. Mel'nikova i dr. M.: Intekst, 2002. 408 s.
3. Obobschenie mirovogo opyta tyazhelovesnogo dvizheniya. Upravlenie soderzhaniem sistemy koleso — rel's: sb. nauch. tr. / pod obsch. red. S. M. Zaharova. M.: VNIIZhT, 2017. 420 s.
4. Asinhronnyy tyagovyy privod lokomotivov: uchebnoe posobie / A. A. Zarif'yan; pod obsch. red. A. A. Zarif'yana. M.: FGBOU «Uchebno-metodicheskiy centr po obrazovaniyu na zheleznodorozhnom transporte», 2013. 414 s.
5. Hasegawa I., Kayashima K. Brake Technology for 140 km/h Operation of Narrow — Gauge Lines // RTRI Report. 1999. Vol. 13, no. 10. P. 35–40.
6. Nakazawa S.-I. Development of a New Wheel Slide Protection System Using a New Detection Algorithm // Quarterly Report of RTRI. 2011. Aug. Vol. 52, no. 3. P. 136–140.
7. Kulikova M. V., Kulikov G. Yu. Chislennye metody nelineynoy fil'tracii dlya obrabotki signalov i izmereniy // Vychislitel'nye tehnologii. 2016. T. 21, № 4. S. 64–98.
8. Mal K., Hussain I., Chowdhry B. S., et. al. Extended Kalman filter for estimation of contact forces at wheel-rail interface // 3C Tecnologsha. Glosas de innovacion aplicadas a la pyme. Edicion Especia. 2020. Apr. P. 279–301.
9. Wang S., Xiao J., Huang J., et. al. Locomotive wheel slip detection based on multi-rate state identification of motor load torque // Journal of the Franklin Institute. 2016. Vol. 353, no. 2. P. 521– 540. URL: https://www.sciencedirect.com/science/article/pii/S0016003215004287.
10. Alshawi A. An Adaptive Unscented Kalman Filter for the Estimation of the Vehicle Velocity Components, Slip Angles, and Slip Ratios in Extreme Driving Manoeuvres // Sensors. 2024. Jan. Vol. 24, no. 2. P. 436.
11. Kong J., Pfeiffer M., Schildbach G., et. al. Kinematic and dynamic vehicle models for autonomous driving control design // 2015 IEEE Intelligent Vehicles Symposium (IV). 06/2015. P. 1094–1099.
12. Mei T., Hussain I. Detection of wheel-rail conditions for improved traction control // IET Conference on Railway Traction Systems (RTS 2010). 04/2010. P. 1–6.
13. Maridor J., Markovic M., Perriard Y. Kalman filter to measure position and speed of a linear actuator // 2011 IEEE International Electric Machines & Drives Conference (IEMDC). 05/2011.
14. Simon D. Fundamentals of Kalman Filters. Hoboken, New Jersey: John Wiley & Sons, Inc., 2006. XXVI, 502 p.
15. Universal'nyy mehanizm. Oficial'nyy sayt / D. Yu. Pogorelov. OOO «Vychislitel'naya mehanika». Ver. 9.1. 2024. URL: www.umlab.ru (data obrascheniya: 25.03.2014).
16. Pogorelov D. Simulation of Rail Vehicle Dynamics with Universal Mechanism Software // Rail Vehicle Dynamics and Associated Problems. Gliwice: Silesian University of Technology, 01/2005. P. 13–58.
17. Mashinistu ob elektrovoze ChS7 / I. I. Karasev, L. P. Ratomskiy. M.: Transport, 2012. 223 s.