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⟩

• Article dans une revue

Influence des facteurs psychosociaux de la douleur chronique sur le contrôle postural, Influence of psychosocial factors of chronic pain on postural control

Émeline Walczak, Maxime Billot, Anne Masselin-Dubois, Frédéric Viseux

Le contrôle postural est un élément fondamental de l’existence humaine et de la motricité. Il intervient couramment dans la bonne réalisation et exécution des mouvements, en maintenant l’équilibre et la stabilité du corps dans l’espace. De nombreux éléments sont susceptibles d’affecter la qualité…, Postural control is a fundamental aspect of human existence and motor function. It plays a key role in the proper execution of movements by maintaining the body’s balance and stability in space. Numerous factors can affect the quality of postural control, including pain. Pain encompasses biological…

Douleur et Analgésie, 2025, 38 (3), pp.168-177. ⟨10.1684/dea.2025.0332⟩. ⟨hal-05641330⟩

• Article dans une revue

Fault Hiding of Nonlinear Parameter Varying Systems

Iury Bessa, Márcia Peixoto, Pedro Coutinho, Vicenç Puig, Reinaldo Palhares

This letter addresses the problem of fault-tolerant control of nonlinear parameter-varying (N-LPV) systems. Specifically, it focuses on N-LPV models that effectively represent nonlinear systems by partially embedding nonlinearities while preserving sector-bounded terms. This representation…

IEEE Control Systems Letters, 2025, 9, pp.889-894. ⟨10.1109/LCSYS.2025.3577965⟩. ⟨hal-05329569⟩