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Autonomous Vehicle Control Through the Dynamics and Controller Learning

IEEE Transactions on Vehicular Technology, 2018
Parameters tuning of the model and the controller is an essential problem for autonomous vehicles. Traditionally, parameter tuning work is accomplished by manual operation or grid search, which is a tedious and time-consuming work. Recently, thanks to the development of machine learning community, several automatic controller parameter tuning ...
Jie Su   +3 more
openaire   +1 more source

Sliding Modes Control in Vehicle Longitudinal Dynamics Control

2017
Sliding Mode Control is a nonlinear control methodology based on the use of a discontinuous control input which forces the controlled system to switch from one continuous structure to another, evolving as a variable structure system. This structure variation makes the system state reach in a finite time a pre-specified subspace of the system state ...
Ferrara, Antonella   +1 more
openaire   +2 more sources

Data-driven vehicle modeling of longitudinal dynamics based on a multibody model and deep neural networks

Measurement: Journal of the International Measurement Confederation, 2021
Shuitao Gu, Yongjun Pan
exaly  

Vehicle drifting dynamics: discovery of new equilibria

Vehicle System Dynamics, 2022
Hormoz Marzbani   +2 more
exaly  

Sensor Control Using Vehicle Dynamics

2023 31st Signal Processing and Communications Applications Conference (SIU), 2023
openaire   +1 more source

Stochastic failure process of railway vehicle dampers and the effects on suspension and vehicle dynamics

Vehicle System Dynamics, 2021
Weihua Zhang   +2 more
exaly  

Control Applications of Vehicle Dynamics

2021
Jingsheng Yu, Vladimir Vantsevich
openaire   +1 more source

State, parameter and input observers based on multibody models and Kalman filters for vehicle dynamics

Mechanical Systems and Signal Processing, 2021
MIGUEL A Naya   +2 more
exaly  

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