Results 21 to 30 of about 698,039 (294)
The majority of current studies on autonomous vehicle control via deep reinforcement learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which includes acceleration delay and acceleration command dynamics.
Azad, Nasser L., Lin, Yuan, McPhee, John
core +1 more source
A torque vectoring optimal control strategy for combined vehicle dynamics performance enhancement and electric motor ageing minimisation* [PDF]
In this paper we propose a control architecture that combines velocity, sideslip angle and yaw rate regulation with motor temperature regulation on a electric vehicle with four independent electric motors.
Kampanakis, Angelos +3 more
core +1 more source
Deep reinforcement learning (DRL) has become increasingly popular for solving sequential decision-making problems in control applications, particularly for multi-physical systems such as vehicle and robotic motion control.
Johannes Ultsch +2 more
doaj +1 more source
Investigation of excitation force on noise and vibration caused by combustion in a gasoline engine
This study focused on the piston system and targeted vehicle interior noise caused by combustion, which is mainly due to vibration transmission in the high-speed, high-load region.
Hironao SATO +8 more
doaj +1 more source
An Evaluation of Magneto Rheological Dampers for Controlling Gun Recoil Dynamics
The application of magneto rheological dampers for controlling recoil dynamics is examined, using a recoil demonstrator that includes a single-shot 50 caliber BMG rifle action and a MR damper.
Mehdi Ahmadian, James C. Poynor
doaj +1 more source
Modelling and validation of off-road vehicle ride dynamics [PDF]
Increasing concerns on human driver comfort/health and emerging demands on suspension systems for off-road vehicles call for an effective and efficient off-road vehicle ride dynamics model.
Cao, Dongpu +2 more
core +2 more sources
New Insights into a Three-Sub-Step Composite Method and Its Performance on Multibody Systems
This paper develops a new implicit solution procedure for multibody systems based on a three-sub-step composite method, named TTBIF (trapezoidal–trapezoidal backward interpolation formula).
Yi Ji, Huan Zhang, Yufeng Xing
doaj +1 more source
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
Random disturbance factors would lead to the variation of target acquisition point during the long distance flight. To acquire a high target acquisition probability and improve the impact precision, missiles should be guided to an appropriate target ...
Xiao Liu +4 more
doaj +1 more source

