Publications

• Article dans une revue

Trajectory Tracking Using Quasi-LPV Descriptor Models for Vehicle Control

Mohamed Diouf, Rafael Silva, Thierry Marie Guerra

This work applies a descriptor model of a vehicle to design a controller able to follow given trajectories. It enters in a project of shared control between the driver and the machine. This brick is important to show that at the low level, robustness can be ensured via automatic control tools. The…

IFAC-PapersOnLine, 2025, 59 (26), pp.211-216. ⟨10.1016/j.ifacol.2025.12.036⟩. ⟨hal-05482594⟩

• Article dans une revue

Adaptive Neural-Network-Based Fault Tolerant Control for Autonomous Vehicles With Dynamic Output Constraints

Zhaoyu Qiu, Xiaoyuan Zhu, Anh-Tu Nguyen, Guodong Yin

Vehicle reliability and safety are critical to the development and application of autonomous driving technologies. This paper presents an adaptive neural network (NN) fault-tolerant controller design for autonomous vehicles, where dynamic output constraints are specifically considered to keep the…

IEEE/ASME Transactions on Mechatronics, In press, ⟨10.1109/TMECH.2025.3575035⟩. ⟨hal-05115411⟩

• Article dans une revue

La géo-participation des usagers-habitants : réflexions sur une opportunité et une perspective pour un monitorage des territoires urbains

Abdessalam Hijab, Igor Crevits

This article examines the conditions for implementing a collaborative (geo)monitoring system aimed at supporting territorial management and enhancing urban resilience. Drawing on GeoWeb technologies and crowdsourcing practices, it proposes a conceptual framework based on a systemic analysis of…, Cet article analyse les conditions d’implémentation d’un dispositif de (géo)monitorage collaboratif destiné à soutenir la gestion du territoire et à renforcer la résilience urbaine. En mobilisant le GéoWeb et les pratiques de production participative, il propose un cadre conceptuel fondé sur une…

VertigO : La revue électronique en sciences de l'environnement, 2025, 25-3, https://journals.openedition.org/vertigo/53792. ⟨hal-05619390⟩

• Article dans une revue

Fog-Blockchain Fusion For Event Evaluation And Trust Management

Youssef Sellami, Youcef Imine, Antoine Gallais

IEEE Transactions on Dependable and Secure Computing, 2025, pp.1-15. ⟨10.1109/TDSC.2025.3587589⟩. ⟨hal-05163377⟩

• Article dans une revue

Guaranteed State Estimation for H−/L∞ Fault Detection of Uncertain Takagi-Sugeno Fuzzy Systems With Unmeasured Nonlinear Consequents

Masoud Pourasghar, Anh-Tu Nguyen, Thierry-Marie Guerra

We investigate the problem of guaranteed state estimation and robust fault detection of uncertain Takagi-Sugeno (TS) fuzzy systems with unmeasured nonlinearities. The effects of both unknown-but-bounded disturbances and faults are taken into account in the state bounding observer design via…

IEEE Transactions on Fuzzy Systems, In press, ⟨10.1109/TFUZZ.2025.3532221⟩. ⟨hal-04905412⟩

• Article dans une revue

Less-Conservative Robust Path Tracking Control With Intrinsic Bump-Free Feature for Autonomous Vehicles: A Sub-Polytope Integrated Approach

Liqin Zhang, Manjiang Hu, Yougang Bian, Hui Zhang, Anh-Tu Nguyen

This paper proposes a novel sub-polytope integrated approach (sPIA) that features an intrinsic bump-free transition, aiming to reduce conservatism in the design of path tracking control for autonomous vehicles with large range time-varying longitudinal velocity. The approach encapsulates the…

IEEE Transactions on Intelligent Transportation Systems, In press, ⟨10.1109/TITS.2025.3554157⟩. ⟨hal-05115408⟩

• Article dans une revue

Non-intrusive local/global coupling with local deep learning-based models for the effective simulation of spotwelded structures under impact

Afsal Pulikkathodi, Ludovic Chamoin, Elisabeth Lacazedieu, Juan Pedro Berro Ramirez, Laurent Rota, Malek Zarroug

International Journal for Numerical Methods in Engineering, 2025, 126 (14), pp.e70086. ⟨10.1002/nme.70086⟩. ⟨hal-05141404⟩

• Article dans une revue

Uncertainty-driven Active Reinforcement Learning for Energy Management Strategy in Electrified Vehicles

Dong Hu, Cheng Tian, Anh-Tu Nguyen, Chao Huang

Reinforcement learning (RL), as a data-driven optimization method, enables electrified vehicles to train optimal energy management strategy (EMS) in complex and dynamic environments. However, traditional RL methods often face inefficiency during the exploration process, particularly in…

IEEE Transactions on Transportation Electrification, In press, ⟨10.1109/TTE.2025.3614254⟩. ⟨hal-05291498⟩

• Communication dans un congrès

Analyse de la décorrélation geste-son dans la pratique de la batterie électronique, Analysis of gesture-sound decorrelation when playing electronic drum kit.

Mathias Blandeau, Eugénie Avril

La batterie appartient à la famille d'instruments de musique dont la pratique, en amateur ou à haut niveau, est associée à un risque accru de troubles musculosquelettiques (TMS) particulièrement pour les membres supérieurs et le rachis lombaire. L'apprentissage de la batterie se fait en…, Drumming belongs to a family of musical instruments whose practice, whether as an amateur or at a high level, is associated with an increased risk of musculoskeletal disorders (MSD), particularly of the upper limbs and lumbar spine. The vast majority of drummers learn to play on acoustic…

CFA 2025 - 17e Congrès Français d'Acoustique, Société Française d'Acoustique, 2025, Paris, France. ⟨hal-05064996⟩

• Communication dans un congrès

Integration of Generative Artificial Intelligence in Medicine - First Steps Toward an Ethical Risk Management Methodology

Miruna-Elena Iliuță, Damien Trentesaux, Eugen Pop, Mihnea Alexandru Moisescu

The integration of Generative Artificial Intelligence into clinical processes requires addressing ethical aspects and inherent risks, contributing not only to the automation of these processes but also to the ongoing development of personalized medicine. The generation of complex diagnostic and…

2024 E-Health and Bioengineering Conference (EHB), Nov 2024, IASI, Romania. pp.1-6, ⟨10.1109/EHB64556.2024.10805663⟩. ⟨hal-05659567⟩