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A systematic literature review of various control techniques for active seat suspension systems
M Al-Ashmori, X Wang - Applied Sciences, 2020 - mdpi.com
Drivers of heavy trucks are exposed to large amounts of vibration which can lead to serious
health risks. Many suspension systems/methods can be used to isolate these transmitted …
health risks. Many suspension systems/methods can be used to isolate these transmitted …
Enhancing nonlinear dynamics analysis of railway vehicles with artificial intelligence: a state-of-the-art review
Z Tang, Y Hu, Z Qu - Nonlinear Dynamics, 2024 - Springer
Railway vehicle dynamics involves modelling, simulating, and analysing the motion and
interaction of rail vehicles under external force, exhibiting numerous nonlinear behaviours …
interaction of rail vehicles under external force, exhibiting numerous nonlinear behaviours …
Inverse neuro-fuzzy MR damper model and its application in vibration control of vehicle suspension system
LH Zong, XL Gong, CY Guo, SH Xuan - Vehicle system dynamics, 2012 - Taylor & Francis
In this paper, a magneto-rheological (MR) damper-based semi-active controller for vehicle
suspension is developed. This system consists of a linear quadratic Gauss (LQG) controller …
suspension is developed. This system consists of a linear quadratic Gauss (LQG) controller …
Development of hybrid electromagnetic dampers for vehicle suspension systems
B Ebrahimi - 2009 - uwspace.uwaterloo.ca
Vehicle suspension systems have been extensively explored in the past decades,
contributing to ride comfort, handling and safety improvements. The new generation of …
contributing to ride comfort, handling and safety improvements. The new generation of …
Robust predictive compensation control for lateral magnetorheological semi-active suspension of high-speed trains with time delay
Y Zhang, C Chen - Automatika, 2024 - Taylor & Francis
Aiming at reducing the effect of time delay on the control performance of magnetorheological
(MR) damper semi-active suspension, a control strategy with strong robustness to time delay …
(MR) damper semi-active suspension, a control strategy with strong robustness to time delay …
[PDF][PDF] Neural network based feedback linearization control of a servo-hydraulic vehicle suspension system
This paper presents the design of a neural network based feedback linearization (NNFBL)
controller for a two degree-offreedom (DOF), quarter-car, servo-hydraulic vehicle …
controller for a two degree-offreedom (DOF), quarter-car, servo-hydraulic vehicle …
An adaptive neuro fuzzy hybrid control strategy for a semiactive suspension with magneto rheological damper
The main function of a vehicle suspension system is to isolate the vehicle body from external
excitation in order to improve passenger comfort and road holding and to stabilise its …
excitation in order to improve passenger comfort and road holding and to stabilise its …
[PDF][PDF] Design an intelligent controller for full vehicle nonlinear active suspension systems
The main objective of designed the controller for a vehicle suspension system is to reduce
the discomfort sensed by passengers which arises from road roughness and to increase the …
the discomfort sensed by passengers which arises from road roughness and to increase the …
Kinematic and dynamic analysis of the McPherson suspension with a planar quarter-car model
McPherson suspension modelling poses a challenging problem due to its nonlinear
asymmetric behaviour. The paper proposes a planar quarter-car analytical model that not …
asymmetric behaviour. The paper proposes a planar quarter-car analytical model that not …
An LSTM-based driving operation suggestion method for riding comfort-oriented critical zone
L Zeng, H Zhang, Q Han, Y Tang, L Ye, Y Wu… - Journal of Ambient …, 2023 - Springer
Driving behavior optimization can not only reduce energy consumption and the probability of
traffic accidents but also improve the riding experience of passengers. Unfortunately, the low …
traffic accidents but also improve the riding experience of passengers. Unfortunately, the low …