[
[1] Heißing, B., Ersoy, M. “Chassis Handbook: Fundamentals, Driving Dynamics, Components, Mechatronics, Perspectives”, 1st edn. Vieweg+Teubner Verlag, Wiesbaden 2011. ISBN 978-3-8348-0994-0
]Search in Google Scholar
[
[2] Kumar, G. “NVH challenges in hybrid and electric vehicles”, Acoustics Bulletin 40 (6), pp. 44 – 48, 2015. ISSN 0148-7191
]Search in Google Scholar
[
[3] “Test based Optimization of NVH for hybrid and electric vehicles”, [online] Available at:https://community.plm.automation.siemens.com/siemensplm/attachments/siemensplm/Simcenter_event_tkb/109/6/26_Vortrag.pdf, last accessed 2019/05/22, [Accessed: 30.3.2021].
]Search in Google Scholar
[
[4] “Avoid NVH issues in electric vehicles by using the source-transfer-receiver methodology”, [online] Available at: https://www.plm.automation.siemens.com/global/cz/topic/nhv-issues-in-electric-vehicles/58756, last accessed 2019/05/22, [Accessed: 30.3.2021].
]Search in Google Scholar
[
[5] Mitrovic, N., Petrovic, A., Milosevic, M., Momcilovic, N., Miskovic, Z., Maneski, T., Popovic, P. “Experimental and numerical study of globe valve housing”, Chem. Ind. 71 (3), pp. 251 – 257, 2017. DOI: 10.2298/HEMIND160516035M10.2298/HEMIND160516035M
]Search in Google Scholar
[
[6] Danko, J., Milesich, T., Bucha, J. “Nonlinear model of the passenger car seat suspension system”, Strojnícky časopis – Journal of Mechanical Engineering 67 (1), pp. 23 – 28, 2017. DOI:10.1515/scjme-2017-0002.10.1515/scjme-2017-0002
]Search in Google Scholar
[
[7] Sengupta, P., Li, B. “Modified Bouc–Wen model for hysteresis behavior of RC beam-column joints with limited transverse reinforcement”, Engineering Structures 46, pp. 392 – 406, 2013. DOI: 10.1016/j.engstruct.2012.08.003.10.1016/j.engstruct.2012.08.003
]Search in Google Scholar
[
[8] Popardovský, V. “Optimization of Vehicle Suspension Neural Model”, Proc. of the 22nd International Scientific Conference TRANSPORT MEANS 2018, ISSN 1822-296X, Trakai, Lithuania, pp. 1361 – 1364, 2018.
]Search in Google Scholar
[
[9] Popardovský V, Popardovská E. “Vehicle Suspension Control Based on PID Controller Adapted by Feed-Forward Neural Network”, In: Zeszyty Naukowe INSTITUTU POJAZDÓW, ISSN 1642-347X, Warsaw University of Technology, pp. 99 – 107, 2017.
]Search in Google Scholar
