Publications

• 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

Evaluation of 5G Relay-Empowered and Device-to-Device Communications for Rescue Mission

Wajdi Elleuch, Patrick Sondi, Ahmed Meddahi, Sylvain Lecomte

IEEE Access, 2025, 13, pp.104614-104629. ⟨10.1109/ACCESS.2025.3579872⟩. ⟨hal-05124603⟩

• Article dans une revue

Telerehabilitation in the remote care of patients’ postorthopaedic surgery: benefits and limitations for patients

Nawel Ouendi, Eugénie Avril, Benjamin Dervaux, Philippe Pudlo, Laura Wallard

Objective: The aim of this study was to identifythe factors that might influence patients' adoption of telerehabilitation post orthopaedic surgery knee and hip. Method: Semi-structured interviews were conducted with 20 THA (n=6), TKA (n=14) patients. These interviews were guided by an…

Journal of Telemedicine and Telecare, In press. ⟨hal-05114201⟩

• Chapitre d'ouvrage

Holistic Bowtie Model of AI-Based Technology in Defense Systems

Frank Ole Flemisch, Dierk Spreen, Marie-Pierre Pacaux-Lemoine, Benjamin J Knox, Kairi Talves, John Christopher Brill

As AI creates a strong technological push on our societies and defense systems, increasing requirements to counteract hybrid warfare pull the demands for new methods to think defense in a systemic and interconnected way. The holistic bowtie model offers a method for understanding the connections…

How to Think, Explore, and Implement Efficient and Meaningful Chains of Abilities, Control, Responsibility, and Accountability Between Humans, AI, Organization, and the Environment?, 192, Springer Nature Switzerland, pp.227-250, 2025, Artificial Intelligence, Simulation and Society, 978-3-031-95577-8. ⟨10.1007/978-3-031-95578-5⟩. ⟨hal-05334416⟩

• Article dans une revue

Trust-Based Shared Steering Control With Game Theory Using Event-Triggered ADP for Human-Vehicle Cooperative Driving

Yingkui Shi, Sicheng Ge, Anh-Tu Nguyen, Ji Li, Chao Huang, Chuan Hu

The trust level of drivers in automated driving systems (ADS) significantly impacts human-vehicle cooperation in terms of driving authority allocation and dynamic interactions during collaborative driving. However, trust dynamics for human-vehicle shared steering control (SSC) has rarely been…

IEEE Transactions on Vehicular Technology, In press, ⟨10.1109/TVT.2025.3581082⟩. ⟨hal-05133637⟩

• Article dans une revue

Enhancing Human-Cyber-Physical System Cooperation: A Grid-Based Modeling Approach

Salma Nissoul, Marie-Pierre Pacaux-Lemoine, Sondes Chaabane

IFAC-PapersOnLine, 2025, 59 (10), pp.434-439. ⟨10.1016/j.ifacol.2025.09.075⟩. ⟨hal-05324262⟩

• Communication dans un congrès

Heterogeneous vibration data preprocessing method for fault detection

Donatien Claeyssens, Dorsaf Zekri, Thierry Delot, Ait El Cadi Abdessamad

<div><p>The early detection of bearing faults is an important subject for maintenance and many research works have been conducted on laboratory-based homogeneous datasets. Industrial data sets are still uncommon, and so far, only one have been made publicly available so work on such…

6th International Conference on Industry 4.0 and Smart Manufacturing, Nov 2024, Prague, Czech Republic. pp.2127 - 2136, ⟨10.1016/j.procs.2025.01.273⟩. ⟨hal-05351184⟩

• 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⟩

• 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

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⟩