Un système est souvent caractérisé par plusieurs modes de fonctionnement, chacun pouvant alors être décrit par un modèle qui lui est propre. Dans le cas où la commutation entre les modes de fonctionnement résulte d'un processus inconnu (un défaut, un changement de condition,...), il est difficile de manipuler ces systèmes et d'appliquer les commandes appropriées. Cette thèse traite du problème de la détection du changement de mode d'un système. A partir d'un système partiellement supervisé (connaissance du nombre de mode de fonctionnement du système ainsi que de la structure du modèle représentant chaque mode), une méthode est développée pour détecter le mode de fonctionnement actif du système à chaque instant. Pour cela, l'analyse du gradient des résidus obtenu par la multiplication des modèles locaux entre-eux, permet de caractériser le mode de fonctionnement. Une application de cette méthode est réalisée sur des données simulées et réelles de coulée continue de l'acier, afin de détecter un phénomène particulier : le collage. Finalement, une méthode par rejet de mode est mise en place sur des données réelles thermiques dans le même but (la détection des collages en lingotière de coulée continue) / Most of time a system is characterized by few operating modes, each of them could be describe by a model. In the case of the commutation between each operating mode is due to unknown process (fault, changing in condition,) it could be difficult to operate with this system and used the appropriate commands. With a partially supervised system (knowing of number of operating mode and model structure that represent each mode), a method is developed to detect the active operating mode at each time. Indeed, the analyses of the residual gradient, that obtain by product each local model together, permit to characterize the operating mode. Application of this method is presented with simulated data and industrial data of continuous casting to detect a particular phenomenon: the sticker. Finally, a rejection mode method is used on industrial thermal data in the same aim (detection of stickers in continuous casting)

In this study, the hydrolytic kinetics of mixtures of cotton gin waste (CGW) and recycled paper sludge (RPS) at various initial enzyme concentrations of Spezyme AO3117 and Novozymes NS50052 was investigated. The experiments showed that the concentrations of reducing sugars and the conversions of the mixtures increased with increasing initial enzyme concentration. The reducing sugar concentration and conversion of the mixture of 75% CGW and 25% RPS were higher than those of the mixture of 80% CGW and 20% RPS. The conversion of the former could reach 73.8% after a 72-hour hydrolysis at the initial enzyme loading of 17.4 Filter Paper Unit (FPU)/g substrate. A three-parameter kinetic model with convergent property based on enzyme deactivation and its analytical expression were derived. Using nonlinear regression, the parameters of the model were determined from the experimental data of hydrolytic kinetics of the mixtures. Based on this kinetic model of hydrolysis, two profit rate models, representing two kinds of operating modes with and without substrate recycling, were developed. Using the profit rate models, the optimal enzyme loading and hydrolytic time could be predicted for the maximum profit rate in ethanol production according to the costs of enzyme and operation, enzyme loading, and ethanol market price. Simulated results from the models based on the experimental data of hydrolysis of the mixture of 75% CGW and 25% RPS showed that use of a high substrate concentration and an operating mode with feedstock recycle could greatly increase the profit rate of ethanol production. The results also demonstrated that the hydrolysis at a low enzyme loading was economically required for systematic optimization of ethanol production. The development of profit rate model points out a way to optimize a monotonic function with variables, such as enzyme loading and hydrolytic time for the maximum profit rate. The study also investigated the ethanol production from the steam-exploded mixture of 75 wt% cotton gin waste and 25 wt% recycled paper sludge at various influencing factors, such as enzyme concentration, substrate concentration, and severity factor, by a novel operating mode: semi-simultaneous saccharification and fermentation (SSSF) consisting of a pre-hydrolysis and a simultaneous saccharification and fermentation (SSF). Four cases were studied: 24-hour pre-hydrolysis + 48-hour SSF (SSSF 24), 12-hour pre-hydrolysis + 60-hour SSF (SSSF 12), 72-hour SSF, and 48-hour hydrolysis + 12-hour fermentation (SHF). SSSF 24 produced higher ethanol concentration, yield, and productivity than the other operating modes. The higher temperature of steam explosion favored of ethanol production, but the higher initial enzyme concentration could not increase the final ethanol concentration though the hydrolytic rate of the substrate was increased. A mathematical model of SSSF, which consisted of an enzymatic hydrolysis model and a SSF model including four ordinary differential equations that describe the changes of cellobiose, glucose, microorganism, and ethanol concentrations with respect to residence time, was developed, and was used to simulate the data for the four components in the SSSF processes of ethanol production from the mixture. The model parameters were determined by a MATLAB program based on the batch experimental data of the SSSF. The analysis to the reaction rates of cellobiose, glucose, cell, and ethanol using the model and the parameters from the experiments showed that the conversion of cellulose to cellobiose was a rate-controlling step in the SSSF process of ethanol production from cellulose. / Ph. D.

Les HEMT AlGaN/GaN sont en passe de devenir incontournables dans le monde de l'amplification de puissance radiofréquence, grâce à leurs performances exceptionnelles. Cependant,en raison de la relative jeunesse de cette technologie, des études de fiabilité dans plusieurs modes de fonctionnement sont toujours nécessaires pour comprendre les mécanismes de défaillance propres à ces composants et responsables de leur vieillissement. Cette étude porte sur l'analyse des défaillances dans les transistors HEMT AlGaN/GaN de puissance,en régime de fonctionnement de type RADAR (pulsé et saturé). Elle s'appuie sur la conception d'amplificateurs de test, leur caractérisation et leur épreuve sur bancs de vieillissement. La mise en place d'une méthodologie visant à discriminer les mécanismes de dégradation prépondérants, conjointement à une analyse micro-structurale des composants vieillis, permet d'établir le lien entre l'évolution des performances électriques et l'origine physique de ces défauts. / AlGaN/GaN HEMTs are on the way to lead the radiofrequency power amplificationfield according to their outstanding performances. However, due to the relative youth of this technology, reliability studies in several types of operating conditions are still necessaryto understand failure mechanisms peculiar to these devices and responsible for their wearingout. This study deals with the failure analysis of power AlGaN/GaN HEMTs in RADARoperating mode (pulsed and saturated). This is based on the design of test amplifiers, theircharacterization and their stress on ageing benches. The setting up of a methodology aimingat discriminating predominant degradation modes, jointly with a micro-structural analysisof aged devices, permits to link the evolution of electrical performances with the physicalroots of these defects.

Les systèmes de contrôle des événements discrets ont la possibilité de résoudre les défis importants de la société moderne. En particulier, cela représente une solution fondamentale pour gérer et contrôler les nouvelles avancées technologiques en conformité avec la requis du développement durable. Le paramétrage, la configuration et la prise de décision de ces systèmes de contrôle sont des aspects critiques qui influent sur les performances et la productivité. Les approches d'architecture de contrôle dynamique, telles que les systèmes de contrôle reconfigurables, ont été proposées pour la modélisation de ces systèmes. Cependant, ils n'ont pas réussi à optimiser le processus de reconfiguration car celles-ci se concentrent sur la continuité de l'exécution plutôt que sur l'optimisation de la reconfiguration. Cette dissertation propose une architecture de référence pour un système de contrôle reconfigurable, nommé Pollux, conçu pour gérer et ajuster de manière optimale et en temps réel l'architecture d'un système de contrôle, soit pour guider l'exécution opérationnelle ou répondre à une perturbation du système. En considérant une proposition d'une configuration optimale des architectures de contrôle basées sur la gouvernance partagée, cette approche proposée un système de contrôle reconfigurable compose d’une entité décisionnelle flexible et personnalisable, d’une représentation qui caractérise la configuration unique et la solution de contrôle de l'architecture de contrôle et d’un mécanisme de reconfiguration à trois modules qui intègre les principes basés sur l'optimalité dans la reconfiguration. Notre approche est appliquée dans le domaine de la fabrication et est validée dans une simulation et une cellule réelle de fabrication située à l'Université de Valenciennes, en France. La validation effectuée dans trois scénarios expérimentaux a permis de vérifier les avantages de notre approche et de nous encourager à continuer la recherche. / Discrete-event control systems have the opportunity to resolve significant challenges of modern society. In particular, these represent a fundamental solution to manage and control the new technological advances in compliance to the increased consciousness of sustainable development. The parameterization, configuration and decision-making of these control systems are critical aspects that impact the performance and productivity required. Dynamic control architecture approaches, such as reconfigurable control systems, have been proposed for modelling such systems. However, such approaches have failed to address the recovery of the reconfiguration process as these focus on the continuity of execution rather than on the optimisation of the reconfiguration. This dissertation proposes a reference architecture for a reconfigurable control system, named Pollux, designed to manage and adjust optimally and in real time the architecture of a control system, either to guide operational execution or to respond to a system perturbation. Considering a proposed framework of an optimal configuration of control architectures based on shared governance, this proposed approach aims to orchestrate a flexible and customizable decisional entity, a representation that characterize the unique configuration and control solution of the control architecture, and a three-module reconfiguration mechanism that integrates the optimality-based principles into the reconfiguration process, to ensure a recovery of global performance and/or minimise the degradation caused by perturbations. Our approach is applied in the manufacturing domain and is validated in a simulation and a real flexible manufacturing system cell located at the University of Valenciennes, France. The validation conducted in three experimental scenarios verified the benefits of our approach and encourage us to continue research in this direction.

Contexte : La participation sociale d’utilisateurs de fauteuils roulants peut être affectée par certains facteurs, tels que l’accessibilité et les caractéristiques individuelles de ces derniers, pouvant limiter leur pleine implication dans la réalisation des activités signifiantes de la vie quotidienne. Afin d’améliorer leur mobilité, différents prototypes de fauteuils roulants motorisés intelligents (FRMIs) sont en développement, à l’intention de personnes présentant des déficiences physiques, cognitives ou sensorielles, et qui sont dans l’incapacité d’utiliser un fauteuil roulant motorisé (FRM). Le but visé est de leur procurer davantage d’autonomie dans leurs déplacements, et tenter ainsi de répondre à leurs besoins en termes de mobilité et de participation sociale. Objectif : Explorer la littérature portant sur le développement de FRMIs afin de comprendre dans quelle mesure les prototypes existants répondent aux besoins réels des utilisateurs, d’identifier les limites des études, et de faire des recommandations pour mieux orienter le développement continu des FRMIs. Méthodologie : Un examen de la portée a été réalisé suivant les six étapes proposées par Arskeys et O’Malley (2005), puis bonifiées par Levac et al. (2010). Les études publiées en anglais ou en français, jusqu’à septembre 2020, ont été consultées. Résultats : Au total, 41 études ont été retenues pour l’analyse. Les résultats suggèrent que les différentes technologies intégrées aux FRMIs pourraient contribuer à répondre à certains besoins d’utilisateurs présentant différentes incapacités, contribuer à améliorer leur mobilité, procurer de l’autonomie et favoriser leur participation sociale. Par ailleurs, des résultats complémentaires ont permis d’identifier : (a) d’autres technologies, pouvant favoriser davantage le sentiment d’autonomie et de confort aux utilisateurs, et (b) d’autres usages possibles du FRMI en clinique. Une limite importante identifiée est l’absence d’études expérimentales pouvant permettre d’évaluer l’efficacité du FRMI. Le point de vue des proches-aidants est également peu rapporté dans la littérature. Conclusion : Des études futures seraient à envisager en vue d’améliorer les prototypes de FRMIs existants. / Background: The level of social participation among wheelchair users can be affected by factors such as accessibility, as well as their individual clinical profile, which can limit their full involvement in meaningful activities of daily living. To meet their needs in terms of mobility and social participation, different prototypes of intelligent powered wheelchairs (IPW) are being developed, in order to improve the mobility of people with physical, cognitive or sensorial impairments, who have difficulties using standard powered wheelchairs. Objective: The aim of this study was to map the existing literature on the nature of studies carried out on IPWs to better understand how the existing IPWs meet the needs of powered wheelchair users, and to better guide the ongoing development of IPWs. Methods: A scoping review was conducted in accordance with the six stages of Arskeys and O’Malley’s (2005) framework which was later enhanced by Levac et al. (2010). All studies available until September 2020, written in English or in French, were included. Results: A total of 41 studies were included in the scoping review. The results suggest that the various technologies integrated into IPWs could meet some of the needs of powered wheelchair users (PWu), could help improve mobility, provide independence, and promote social participation of some PWu. Moreover, additional results were identified: (a) other technologies, that could provide more independence and comfort to users, and (b) other clinical uses of IPW. An important limitation of the literature is the lack of experimental studies that could help assessing the efficiency of IPW. The point of view of caregivers is also less reported in the literature. Conclusion: Further studies should be considered to improve the functioning of the existing prototypes of IPW.

On-road vehicles are a major source of transportation carbon dioxide (CO2) greenhouse gas emissions in all the developed countries, and in many of the developing countries in the world. Similarly, several criteria air pollutants are associated with transportation, e.g., carbon monoxide (CO), nitrogen oxides (NOx), and particulate matter (PM). The need to accurately quantify transportation-related emissions from vehicles is essential. Transportation agencies and researchers in the past have estimated emissions using one average speed and volume on a long stretch of roadway. With MOVES, there is an opportunity for higher precision and accuracy. Integrating a microscopic traffic simulation model (such as VISSIM) with MOVES allows one to obtain precise and accurate emissions estimates. The new United States Environmental Protection Agency (USEPA) mobile source emissions model, MOVES2010a (MOVES) can estimate vehicle emissions on a second-by-second basis creating the opportunity to develop new software ―VIMIS 1.0‖ (VISSIM/MOVES Integration Software) to facilitate the integration process. This research presents a microscopic examination of five key transportation parameters (traffic volume, speed, truck percentage, road grade and temperature) on a 10-mile stretch of Interstate 4 (I- 4) test bed prototype; an urban limited access highway corridor in Orlando, Florida. iv The analysis was conducted utilizing VIMIS 1.0 and using an advanced custom design technique; D-Optimality and I-Optimality criteria, to identify active factors and to ensure precision in estimating the regression coefficients as well as the response variable. The analysis of the experiment identified the optimal settings of the key factors and resulted in the development of Micro-TEM (Microscopic Transportation Emissions MetaModel). The main purpose of Micro-TEM is to serve as a substitute model for predicting transportation emissions on limited access highways in lieu of running simulations using a traffic model and integrating the results in an emissions model to an acceptable degree of accuracy. Furthermore, significant emission rate reductions were observed from the experiment on the modeled corridor especially for speeds between 55 and 60 mph while maintaining up to 80% and 90% of the freeway‘s capacity. However, vehicle activity characterization in terms of speed was shown to have a significant impact on the emission estimation approach. Four different approaches were further examined to capture the environmental impacts of vehicular operations on the modeled test bed prototype. First, (at the most basic level), emissions were estimated for the entire 10-mile section ―by hand‖ using one average traffic volume and average speed. Then, three advanced levels of detail were studied using VISSIM/MOVES to analyze smaller links: average speeds and volumes (AVG), second-bysecond link driving schedules (LDS), and second-by-second operating mode distributions (OPMODE). This research analyzed how the various approaches affect predicted emissions of CO, NOx, PM and CO2. v The results demonstrated that obtaining accurate and comprehensive operating mode distributions on a second-by-second basis improves emission estimates. Specifically, emission rates were found to be highly sensitive to stop-and-go traffic and the associated driving cycles of acceleration, deceleration, frequent braking/coasting and idling. Using the AVG or LDS approach may overestimate or underestimate emissions, respectively, compared to an operating mode distribution approach. Additionally, model applications and mitigation scenarios were examined on the modeled corridor to evaluate the environmental impacts in terms of vehicular emissions and at the same time validate the developed model ―Micro-TEM‖. Mitigation scenarios included the future implementation of managed lanes (ML) along with the general use lanes (GUL) on the I-4 corridor, the currently implemented variable speed limits (VSL) scenario as well as a hypothetical restricted truck lane (RTL) scenario. Results of the mitigation scenarios showed an overall speed improvement on the corridor which resulted in overall reduction in emissions and emission rates when compared to the existing condition (EX) scenario and specifically on link by link basis for the RTL scenario. The proposed emission rate estimation process also can be extended to gridded emissions for ozone modeling, or to localized air quality dispersion modeling, where temporal and spatial resolution of emissions is essential to predict the concentration of pollutants near roadways