Publications
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Finite-dimensional adaptive observer design for linear parabolic systems with delayed measurements
New finite-dimensional adaptive observers are proposed for uncertain heat equation and a class of linear Kuramoto–Sivashinsky equation (KSE) with local output. The observers are based on the modal decomposition approach and use a classical persistent excitation condition to ensure practical exponential convergence of both states and parameters estimation. An important challenge of this work is […]
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A multi-agent system simulation of job shop scheduling with human consideration: A comparative analysis of AGVs and AIVs
The manufacturing landscape is undergoing a paradigm shift towards Industry 5.0, emphasizing human-centricity in a collaborative environment between humans and robots. In this context, the job shop scheduling problem (JSSP) remains a critical aspect of workshop management, optimizing task sequencing to minimize the overall completion time (makespan). Traditionally, autonomous and guided vehicles (AGVs) have been […]
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Sampled-data high gain observers for dynamic state estimation in power system
A novel dynamic state estimator is proposed for a class of synchronous generators. The proposed observer is based on high gain principle and provides an accurate estimations of all states of the systems. A sampled-data version which can works with relatively low sampling frequency is also provided. Our algorithms are vali- dated in simulations and […]
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Predictive Maintenance for Smart Buildings: Balancing QoS and Cost Efficiency
The rapid advancement of sensing technologies and connectivity has revolutionized predictive maintenance (PdM), particularly for smart buildings (SB). Despite these advancements, implementing data-driven approaches faces challenges, mainly due to scarce failure data and the SB systems complexity. In this paper, we propose a cooperative multi-agent reinforcement learning (RL) based approach to address these challenges in […]
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Biobased materials as a robust solution for building renovation
Bio-based materials like wood, straw, and hemp, offer a sustainable solution to reducing carbon footprints and confronting climate change in construction. These materials not only lower the environmental impact and emissions but also improve insulation, aligning with the circular economy and life cycle assessment goals. Their use addresses the construction sector’s high energy demand and […]
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Enhanced Calibration of a Laser Profiler Sensor for 3D Inspection and Reconstruction
In recent decades, inspection and three-dimensional reconstruction of gas and water pipes have required high-precision sensors capable of operating in confined and low-texture environments, which presents challenges to traditional sensing technologies. This paper presents the design of both hardware and software for a laser profiler sensor, introducing a novel approach to calibrating the sensor to […]
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Distinguer les soft skills d’autres construits
On constate aujourd’hui, dans les publications en sciences de la formation, en sciences de gestion, comme dans les rapports d’organisations internationales, un point consensuel : les soft skills sont considérées comme de plus en plus importantes pour l’employabilité des personnes. Mais le syntagme anglais soft skills a des traductions variables, et quelle que soit la […]
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TCAD-Based Analysis on the Impact of AlN Interlayer in Normally-off AlGaN_GaN MISHEMTs with Buried p-Region
With the growing demand for more efficient power conversion and silicon reaching its theoretical limit, wide bandgap semiconductor devices are emerging as a potential solution. For instance, Gallium Nitride (GaN)-based high-electron-mobility transistors (HEMTs) are getting more attention, and several structures for the normally off operation have been proposed. Adding an AlN interlayer in conventional AlGaN/GaN […]
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Toward a Predictive Maintenance: Implementing an Innovative Maintenance System for Manufacturing Production Lines Based on New Technologies
The rise of “big data” has been profoundly transformed the landscape of the manufacturing sector, putting pressure on companies’ competitiveness and making the effective utilization of this vast data a critical imperative for efficient maintenance. Therefore, predictive maintenance plays an essential role in meeting these challenges, anticipating maintenance needs and enhancing equipment durability. This paper […]
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Machine learning for density prediction and process optimization of 316L stainless steel fabricated by selective laser melting
Selective laser melting (SLM) is an additive manufacturing technique formetallic materials, currently implemented in different industrial applications. Among the various materials, 316L stainless steel (316L SS) has been widely investigated by this process. However, achieving optimal manufacturing quality is challenging due to the large number of parameters that affect the final product. Traditional methods for […]
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Processus de problématisation et mobilisation de la forme « problème » dans les pédagogies des écoles d’ingénieurs : une analyse de cas par les capabilités
Les méthodes de pédagogie active désignent un ensemble de démarches pédagogiques qui cherchent à mettre les apprenants en situation d’être acteurs de leurs apprentissages. Pour cela, elles s’appuient dans leurs modalités de mise en oeuvre sur l’expérience des apprenants et encouragent l’implication par l’investigation, la participation, la réflexion critique, l’appropriation par le faire et la […]
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Optimized cooperative vehicle routing in multi-depot collection systems for circular economy: Model development and case study
Manufactured products and used raw materials should be reprocessed and reutilized to ensure sustainability in the context of the circular economy. Optimized waste collection and management play a crucial role in establishing effective circular economy practices. A collaborative waste collection system is one of the pillars for optimizing the entire waste collection process. Collaborative waste […]
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