Publications

• Communication dans un congrès

Convex Conditions for Observer Design in Nonlinear Continuous-Time Systems Using a Spatial Discretization Procedure

Cristiano Agulhari, Márcio Lacerda, Márcia L.C. Peixoto

This paper proposes convex conditions for the observer design of nonlinear continuous-time systems. A broad class of nonlinear systems can be tackled by the proposed technique. A spatial discretization is employed, and an approximate model is obtained within the error matrices that measure the…

11th IFAC Symposium on Robust Control Design ROCOND 2025, Jul 2025, Porto (Portugal), Portugal. pp.182-187. ⟨hal-05353728⟩

• Article dans une revue

Diffusion-Driven Hybrid Unknown Input Observer for Vehicle Dynamics Estimation

Cheng Tian, Anh-Tu Nguyen, Edward Chung, Hailong Huang

Vehicle sideslip angle (or lateral speed) and steering angle are essential variables for autonomous vehicle control and active safety systems. Existing estimation methods often depend on deterministic models or neural networks for mapping, which restricts their ability to capture vehicle dynamics…

IEEE Transactions on Industrial Electronics, In press, ⟨10.1109/TIE.2025.3626623⟩. ⟨hal-05402723⟩

• 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

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

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⟩

• 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⟩

• 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

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⟩

• Thèse

Identification of human-robot systems in physical interaction, Identification de systèmes humain-robot en interaction physique

Bilal Tout

Over the last years, physical human-robot interaction has become an important research subject, for example for rehabilitation applications. This PhD aims at improving these interactions, as part of model-based controllers development, using parametric identification approaches to identify models…, Ces dernières années, l’interaction physique humain-robot est devenue un sujet de recherche important, par exemple pour des applications de rééducation. Cette thèse vise à améliorer ces interactions, dans le cadre du développement de contrôleurs basés modèles, par des approches d’identification…

Automatic Control Engineering. Université Polytechnique Hauts-de-France; Institut national des sciences appliquées Hauts-de-France, 2024. English. ⟨NNT : 2024UPHF0056⟩. ⟨tel-05056566⟩