Longitudinal vehicle speed estimation for four-wheel-independently-actuated electric vehicles based on multi-sensor fusion

X Ding, Z Wang, L Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, an enabling multi-sensor fusion-based longitudinal vehicle speed estimator is
proposed for four-wheel-independently-actuated electric vehicles using a Global Positioning …

Survey on algebraic numerical differentiation: historical developments, parametrization, examples, and applications

A Othmane, L Kiltz, J Rudolph - International Journal of Systems …, 2022 - Taylor & Francis
The historical developments, parametrization, and numerous applications of algebraic
numerical differentiation methods initiated by Fliess, Mboup, Join, and Sira-Ramírez are …

Model-free control and intelligent PID controllers: towards a possible trivialization of nonlinear control?

M Fliess - IFAC Proceedings Volumes, 2009 - Elsevier
We are introducing a model-free control and a control with a restricted model for finite-
dimensional complex systems. This control design may be viewed as a contribution to …

A diagnosis-based approach for tire–road forces and maximum friction estimation

J Villagra, B d'Andréa-Novel, M Fliess… - Control engineering …, 2011 - Elsevier
A new approach to estimate vehicle tire forces and road maximum adherence is presented.
Contrarily to most of the previous works on this subject, it is not an asymptotic observer …

On unknown input observers for LPV systems

D Ichalal, S Mammar - IEEE Transactions on Industrial …, 2015 - ieeexplore.ieee.org
This paper is dedicated to the design of unknown input (UI) observers for linear parameter-
varying (LPV) systems using algebraic matrix manipulation. First, a discussion is provided …

[HTML][HTML] Estimation of vehicle longitudinal velocity with artificial neural network

G Napolitano Dell'Annunziata, VM Arricale, F Farroni… - Sensors, 2022 - mdpi.com
Vehicle dynamics control systems have a fundamental role in smart and autonomous
mobility, where one of the most crucial aspects is the vehicle body velocity estimation. In this …

An integrated algorithm for ego-vehicle and obstacles state estimation for autonomous driving

M Bersani, S Mentasti, P Dahal, S Arrigoni… - Robotics and …, 2021 - Elsevier
Understanding of the driving scenario represents a necessary condition for autonomous
driving. Within the control routine of an autonomous vehicle, it represents the preliminary …

Vehicle state estimation based on Kalman filters

M Bersani, M Vignati, S Mentasti… - … of Electrical and …, 2019 - ieeexplore.ieee.org
Vehicle state estimation represents a prerequisite for ADAS (Advanced Driver-Assistant
Systems) and, more in general, for autonomous driving. In particular, algorithms designed …

Commande sans modèle et commande à modèle restreint

M Fliess, C Join - e-STA Sciences et Technologies de l' …, 2008 - inria.hal.science
Résumé We are introducing a model-free control and a control with a restricted model for
finite-dimensional complex systems. This control design may be viewed as a contribution …

Simultaneous vehicle real-time longitudinal and lateral velocity estimation

A Rezaeian, A Khajepour, W Melek… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Accurate information on vehicle longitudinal and lateral velocities is vital for the efficient
operation of many vehicle control systems. In this paper, an estimation structure to …