Publications

• Communication dans un congrès

Impedance Control of Rehabilitation Exoskeletons based on Takagi-Sugeno Unknown Input Observer with Model Uncertainties

Maxime Thieffry, Laurent Vermeiren, Antoine Dequidt

The paper presents the application of an unknown input observer for the specific needs of rehabilitation robotics. A nonlinear assist-as-needed control algorithm is presented, with the aim of meeting patient's needs in the best way. A Takagi-Sugeno fuzzy model is employed for the design of the…

2025 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2025), Jul 2025, Reims, France. ⟨hal-05148438⟩

• Communication dans un congrès

Local static output-feedback control for Takagi-Sugeno fuzzy descriptor models

Nery Gutierrez, Márcia Peixoto, Thierry-Marie Guerra, Vicenç Puig

This paper introduces a novel local synthesis condition for static output-feedback (SOF) control of continuous-time Takagi-Sugeno (TS) fuzzy descriptor models. A key feature of the proposed approach is the local asymptotic stability of the origin of the closed-loop system, which distinguishes it…

2025 IEEE International Conference on Fuzzy Systems (FUZZ), Jul 2025, Reims, France. pp.1-6, ⟨10.1109/FUZZ62266.2025.11152052⟩. ⟨hal-05329596⟩

• Communication dans un congrès

A Literature Review and Taxonomy Proposal of Industrial Symbiosis Practices

Soukaina Benchari, Cécilia Daquin, Emmanuelle Grislin-Le Strugeon, Yves Sallez

In response to the environmental repercussions of the linear economy model, the circular economy has emerged, aiming to reduce environmental impact while balancing economic and social aspects. Industrial ecology is a pillar of cir- cular economy, facilitating collaboration among local industries…

Int. Workshop on Service-Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future (SOHOMA), Sep 2024, Augsburg, Germany. pp.359-369, ⟨10.1007/978-3-031-85316-6_26⟩. ⟨hal-04991038⟩

• Communication dans un congrès

Enterprise-Wide Data Integration for Smart Maintenance: A Scalable Architecture for Predictive Maintenance Applications at Toyota Manufacturing

Soufiane Douimia, Abdelghani Bekrar, Yassin El Hillali, Abdessamad Ait El Cadi

Manufacturing enterprises implementing Industry 4.0 technologies face significant challenges in integrating heterogeneous maintenance data sources and deploying AI solutions effectively. While various AI methods exist for predictive maintenance, the fundamental challenge lies in creating a cohesive…

SMILE 2025, 1st International Conference on Smart Management in Industrial and Logistics Engineering, Apr 2025, Casablanca, Morocco. pp.46, ⟨10.3390/engproc2025097046⟩. ⟨hal-05438619⟩

• Communication dans un congrès

Human Digital Twin: from a Skillful Manipulator to a Trusted Cooperative Partner

Marie-Pierre Pacaux-Lemoine, Emmanuelle Grislin-Le Strugeon

In current Cyber-Physical Systems, especially in Human-AI teams, the integration of Human Digital Twins raises several ethical concerns. To ensure fruitful completeness between human and technology, the design of the system must include representations of the human needs, abilities and acceptance.…

11th IFAC Conference on Manufacturing Modelling, Management and Control (IFAC MIM2025), Jun 2025, Trondheim, Norway. ⟨hal-05237294⟩

• Communication dans un congrès

A robust sliding mode controller for nonlinear systems with mismatched perturbations

Marco Arteaga, Emmanuel Moulay, Michael Defoort

<div xmlns="http://www.tei-c.org/ns/1.0"><p>For many control systems the presence of perturbations may decrease performance, so that their rejection has been an area of active research for the last decades. Roughly speaking, there are two kind of perturbations, those which are…

2025 European Control Conference (ECC), Jun 2025, Thessaloniki, France. pp.1225-1230, ⟨10.23919/ECC65951.2025.11186980⟩. ⟨hal-05321957⟩

• Poster de conférence

Nouveaux Grades Opérationnels et Tactiques pour l'Automatisation ferroviaire

Jean-Valentin Merlevede, Simon Enjalbert, Frédéric Vanderhaegen

Journée Régionale des Doctorants en Automatique 2025, Jun 2025, Amiens, France. ⟨hal-05123200⟩

• Communication dans un congrès

Telerehabilitation in gerontology: acceptability of patients after orthopaedic surgery

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

Objective: Aging healthily with minimal disability is essential. The orthopaedics surgery hip (THA) and knee (TKA) increase with age, making the development of innovative solutions crucial. Telerehabilitation is advancing, but the acceptability of digital tools remains underexplored, despite their…

JetSan 2025, Jun 2025, Troyes (France), France. ⟨hal-05119056⟩

• Pré-publication, Document de travail

MPC-based Anesthesiologists Imitating Control of Propofol and Remifentanil during Anesthesia Maintenance

Maxim Raymond, Kaouther Moussa, Mirko Fiacchini, Jimmy Lauber

<div><p>This paper suggests a new formulation of a Model Predictive Control (MPC) strategy, allowing to design propofol and remifentanil infusion profiles in order to control the Bispectal Index (BIS). This new formulation, based on a range cost, allows to reduce the sensitivity of the…

2025. ⟨hal-05116145⟩

• Thèse

Optimization of braking and traction functions for emissions reduction in the railway sector, Optimisation des fonctions freinage et traction à des fins de réduction des émissions dans le domaine ferroviaire

Arun Kumar Kantheti

Recent studies show that underground metro systems have high concentrations of particulate emissions, primarily generated by braking systems, which pose significant public health risks. This thesis, conducted within the framework of the BREAQ project, aims to reduce these emissions by optimizing…, Des études récentes montrent que les systèmes de métro souterrains présentent des concentrations élevées d’émissions particulaires, principalement générées par les systèmes de freinage, constituant un risque important pour la santé publique. Cette thèse, réalisée dans le cadre du projet BREAQ, vise…

Automatic. Université Polytechnique Hauts-de-France, 2025. English. ⟨NNT : 2025UPHF0017⟩. ⟨tel-05263521⟩