Publications

• Article dans une revue

Observer design with exponential time-varying gain for Takagi–Sugeno fuzzy systems with continuous and aperiodic sampled outputs

Hiba Fawzia Bouchama, Michael Defoort, Jimmy Lauber, Denis Berdjag

In this paper, an observer with exponential time-varying gain is proposed for a class of nonlinear systems in Takagi–Sugeno form with both continuous-time and aperiodic sampled outputs. The proposed observer consists of two parts: one related to the continuous-time outputs and one related to the…

Journal of The Franklin Institute, 2023, 360 (13), pp.10041-10063. ⟨10.1016/j.jfranklin.2023.07.038⟩. ⟨hal-04239455⟩

• Article dans une revue

The morphology and evolution in Al-Cu and Al-Fe magnetic pulse weld interfaces characterized through phase-contrast micro-tomography, Morphologie et évolution des interfaces de magnéto-soudures (soudures par impulsion magnétiques) d'aluminium (Al) - Cuivre (Cu) et d'Al - Acier (Fe) caractérisées par micro-tomographie à contraste de phase

Benjamin Zielinski, Tarik Sadat, Bratislav Lukić, Alexander Rack, Eric Markiewicz, Laurent Dubar

Magnetic Pulse Welding (MPW) facilitates the permanent joining of dissimilar metallic materials through the sudden impact generated by a magnetic pulsed field. The process can introduce distinct morphological features at the interface of bi-material joints, which subsequently affect the joint'…, La soudure par impulsion magnétique ou magnéto-soudage (MPW - "Magnetic Pulse Welding) facilite la soudure permanente de matériaux dissimilaires au travers d'un impact brutal généré par un champ magnétique. Le procédé introduit des structures morphologiques très particulières à l'…

Tomography of Materials and Structures, 2023, 3, pp.100018. ⟨10.1016/j.tmater.2023.100018⟩. ⟨hal-04293252⟩

• Article dans une revue

Reduced-order model based dynamic tracking for soft manipulators: Data-driven LPV modeling, control design and experimental results

Shijie Li, Tran Anh-Tu Nguyen, Thierry-Marie Guerra, Alexandre Kruszewski

We propose a generic nonlinear reduced-order tracking control method for elastic soft robots. To this end, a new linear parameter varying (LPV) control framework is developed using the data collected from the soft robots. Specifically, for LPV modeling we first derive a nonlinear robot model, which…

Control Engineering Practice, 2023, 138, pp.105618. ⟨10.1016/j.conengprac.2023.105618⟩. ⟨hal-04278797⟩

• Article dans une revue

Covering delivery problem with electric vehicle and parcel lockers: Variable neighborhood search approach

Milena Vukićević, Mustapha Ratli, Atika Rivenq, Maria Zrikem

AbstractMinimizing total delivery time and carbon footprint in last mile delivery presents a real challenge in logistic field. Usage of electric vehicles in combination with parcel lockers responds to these challenges. In this paper we introduce the covering delivery problem in last mile with…

Computers and Operations Research, 2023, 157, pp.106263. ⟨10.1016/j.cor.2023.106263⟩. ⟨hal-04107408⟩

• Article dans une revue

Transfemoral amputees adapt their gait during cross-slope walking with specific upper-lower limb coordination

S. Persine, E. Simoneau-Buessinger, F. Charlaté, J. Bassement, C. Gillet, N. Découfour, S. Leteneur

Background: Unilateral lower limb amputees have asymmetrical gaits, particularly on irregular surfaces and slopes. It is unclear how coordination between arms and legs can adapt during cross-slope walking. Research question: How do transfemoral amputees (TFAs) adapt their upper-lower limb…

Gait & Posture, 2023, 105, pp.171-176. ⟨10.1016/j.gaitpost.2023.08.001⟩. ⟨hal-04308982⟩

• Thèse

Efficient Hardware-aware Neural Architecture Search for Edge Computing, Optimisation Automatique des Applications d'Apprentissage Profond sur Plateformes Matérielles Edges

Hadjer Benmeziane

It is widely anticipated that inference models based on Deep Neural Networks (DNN) will be actively employed in many edge platforms due to several compelling reasons. Firstly, DNNs have demonstrated exceptional performance in various complex tasks such as image recognition, natural language…, Les modèles d'inférence basés sur les réseaux neuronaux profonds (eng, Deep Neural Networks (DNN)) sont largement utilisés dans de nombreuses platesformes de périphérie pour plusieurs raisons. Premièrement, les DNN ont démontré des performances exceptionnelles dans diverses tâches complexes…

Machine Learning [cs.LG]. Université Polytechnique Hauts-de-France, 2023. English. ⟨NNT : 2023UPHF0022⟩. ⟨tel-04224035⟩

• Ouvrages

Handbook of Thermal Management Systems

Fethi Aloui, Edwin Geo Varuvel, Ankit Sonthalia

Handbook of Thermal Management Systems: e-Mobility and Other Energy Applications is a comprehensive reference on the thermal management of key renewable energy sources and other electronic components. With an emphasis on practical applications, the book addresses thermal management systems of…

Handbook of Thermal Management Systems: e-Mobility and Other Energy Applications. Elsevier, 2023, 9780443190179. ⟨hal-04132772⟩

• Chapitre d'ouvrage

Experimental Investigation of Performance and Exhaust Emissions of Pyrolytic Olive Pomaces biofuels blends without and with additives fuelled Internal Combustion Engine

Mansoura Salhi, Emna Berrich, Mehrez Romdhane, Fethi Aloui

Fethi Aloui; Edwin Geo Varuvel; Ankit Sonthalia. Handbook on Thermal Management Systems: e-mobility and other application, In press, 978-0-443-19017-9. ⟨hal-04166809⟩

• N°spécial de revue/special issue

Introduction to the special issue on Intelligent Control and Optimisation

Seán Mcloone, Kevin Guelton, Thierry Guerra, Gian Antonio Susto, Juš Kocijan, Diego Romeres

Engineering Applications of Artificial Intelligence, 123 (Part B), pp.106325, 2023, ⟨10.1016/j.engappai.2023.106325⟩. ⟨hal-04083466⟩

• Article dans une revue

A redesign methodology generating predefined‐time differentiators with bounded time‐varying gains

Rodrigo Aldana-López, Richard Seeber, David Gómez-Gutiérrez, Marco Tulio Angulo, Michael Defoort

Abstract There is an increasing interest in designing differentiators, which converge exactly before a prespecified time regardless of the initial conditions, that is, which are fixed‐time convergent with a predefined upper bound of their settling time (UBST), due to their ability to solve…

International Journal of Robust and Nonlinear Control, 2023, 33 (15), pp.9050-9065. ⟨10.1002/rnc.6315⟩. ⟨hal-04217715⟩