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Control

Automatique




Auto - ISSN 2631-4924 - © ISTE Ltd

Aims and scope

Objectifs de la revue

The Control journal publishes papers on various themes, from model identification and estimation to real time on chip implementation. The journal welcomes both theoretical work and applications.


The covered themes (non-exhaustive list) are: identification, estimation, control, observation; controllability, observability, stabilization, trajectory tracking, robustness; linear and nonlinear systems, finite and infinite dimensional, hybrid or not; continuous, discrete, sampled data, real time systems theory.

La revue Automatique publie des articles sur différents thèmes allant des aspects d’identification de modèles et d’estimation jusqu’à l’implantation temps réel sur cible. La revue accueille à la fois des travaux théoriques et des applications.


Les thèmes couverts sont (liste non-exhaustive) : identification, estimation, commande, observation ; commandabilité, observabilité, stabilisation, suivi de trajectoires, robustesse ; systèmes linéaires et non linéaires, de dimension finie et infinie, hybrides ou non ; théorie des systèmes continue, discrète, échantillonnée, temps réel.


Appel à contribution
Jeunes Chercheurs du GDR MACS au congrès mondial de l’IFAC – JD MACS 2017 

Journal issues

2017

Volume 17- 1

Issue 1

2018

Volume 18- 2

Issue 1

Recent articles

Comparison of control structures for autonomous vehicle lateral guidance

The lateral dynamics of the vehicle is strongly impacted by the longitudinal speed bringing problems to trajectory tracking. In this paper, several control structures based on PID are compared for the lateral guidance of (...)


Control allocation method for voltage control and active balancing of a multicellular flying capacitor inverter

An elegant way to exploit control redundancies available in multilevel converters is through the formulation of a constrained optimization problem. An interesting connection can be made with the so-called control allocation (...)


Improving resource elasticity in cloud computing thanks to model-free control

In cloud computing management, the dynamic adaptation of computing resource allocations under timevarying workload is an active domain of investigation. Several control strategies were already proposed. Here the modelfree (...)


Hierarchical approach for Global Chassis Control

In a context of Connected Autonomous Vehicle (CAV), this paper proposes a generic hierarchical architecture for Global Chassis Control (GCC). The four levels of this architecture, namely : the Supervisor, the Global (...)


Path planning with fractional potential fields for autonomous vehicles

Path planning is an essential stage for mobile robot control. It is more newsworthy than ever in the automotive context and especially for autonomous vehicle. Also, path planning methods need to be adaptive regarding life (...)


Recursive identification in transmittance of under‐operated mechanical system (applied to inversed pendulum)

A new approach of identifying mechanical system under-operated is presented in this article. The basic idea is to spread the extensive least-square algorithm and the Stieglitz and McBride algorithm to the case of (...)


Discussing an intriguing result on model-free control

An elementary mathematical example proves, thanks to the Routh-Hurwitz criterion, a result that is intriguing with respect to today’s practical understanding of model-free control, i.e., an “intelligent” proportional (...)


A Study of non linear state estimation based on invariant observers

This article presents a study of non linear state estimation based on invariant preserving observer : l’IUKF (Invariant Unscented Kalman Filter ). Several research works on nonlinear invariant observers have been led and (...)


Editorial Board

 

Editor in chief

Hugues MOUNIER
L2S
Université Paris Sud
hugues.mounier@l2s.centralesupelec.fr


Co-Editors

Tarek HAMEL
Professeur à l’Université de Nice
Sophia Antipolis
thamel@i3s.unice.fr


Jérôme HARMAND
Laboratoire de Biotechnologie
de l’Environnement
INRA
jerome.harmand@inra.fr


Frédéric ROTELLA
Ecole nationale d’ingénieur de Tarbes
frederic.rotella@enit.fr


Olivier SENAME
GIPSA-lab
Grenoble INP – ENSE3
olivier.sename@gipsa-lab.fr


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