Results 41 to 50 of about 15,495,130 (258)
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
Mining articulated vehicles (MAVs) are widely used as primary transportation equipment in both underground and open-pit mines. These include various machines such as Load–Haul–Dump machines and mining trucks.
Pengcheng Liu +4 more
doaj +1 more source
Rear wheel torque vectoring model predictive control with velocity regulation for electric vehicles [PDF]
In this paper we propose a constrained optimal control architecture for combined velocity, yaw and sideslip regulation for stabilisation of the vehicle near the limit of lateral acceleration using the rear axle electric torque vectoring configuration of ...
Longo, Stefano +2 more
core +1 more source
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
A Convolutional Sparse Periodic Transformer Network for Electric Vehicle Charging Demand Forecasting
Electric vehicle (EV) charging behavior exhibits strong spatio-temporal randomness, often leading to transient peak loads and an elevated risk of distribution network overloads.
Lingxia Shi, Xu Lei, Ruinian Gao
doaj +1 more source
ECU controlled intelligent lift axle dropping and lifting system for heavy trucks
This paper reports the design and control of an automatic lift axle auto-drop system that is normally controlled manually by the driver. The goal of the automatic lift axle dropping system is to drop or lower one or more of the liftable axles of the ...
T. Keleş, L. Güvenç, E. Altuğ
doaj +1 more source
A comparison of bearing life in new and refurbished railway axle boxes [PDF]
A simple linear dynamical model shows that at normal running speeds of freight wagons, forced oscillations due to periodic track compliance are transferred to the overlying unsprung mass and significantly amplified. Due to these oscillations, a small gap
Broadbridge, P., Wake, G.
core
A path planning and path-following control framework for a general 2-trailer with a car-like tractor
Maneuvering a general 2-trailer with a car-like tractor in backward motion is a task that requires significant skill to master and is unarguably one of the most complicated tasks a truck driver has to perform. This paper presents a path planning and path-
Axehill, Daniel +4 more
core +1 more source
ABSTRACT This article addresses the problem of quantifying the uncertainty in planning aircraft ground movement operations using towbarless robotic tractors taking into account the inherent uncertainties of the problem, specifically, the uncertainties in the weight of the aircraft and in the rolling resistance of the wheels of the main landing gear ...
Almudena Buelta +2 more
wiley +1 more source
Task co‐use and product improvement: An organization design perspective
Abstract Research Summary Co‐using tasks—using the same task to produce more than one product—promises economies of scope. However, task co‐use also ties products together, changing a firm's task network by introducing cross‐product interdependencies. In light of these interdependencies, we identify an unrecognized downside of task co‐use for product ...
Johanna Glauber, Tobias Kretschmer
wiley +1 more source

