Publications

• Article dans une revue

Time scale observability and constructibility of linear dynamic equations

Bacem Ben Nasser, Mohamed Djemai, Michael Defoort, Taous-Meriem Laleg-Kirati

This paper investigates the observability and constructibility problems of time-varying linear dynamic equations using time scale theory. First, we define observability, reachability and constructibility operators on time scales. Some necessary and sufficient conditions are proposed to ensure the…

International Journal of Control, 2022, 95 (8), pp.1994-2004. ⟨10.1080/00207179.2021.1890823⟩. ⟨hal-03969245⟩

• Article dans une revue

Stabilization of a class of stochastic nonlinear systems using a bang‐bang controller

Asma Barbata, Michel Zasadzinski, Harouna Souley Ali

In this article, a bang-bang control strategy is proposed to almost surely exponentially stabilize a class of nonlinear stochastic systems driven by multiplicative noises. Two cases are considered: first, a state feedback control if the whole state is measured and, second, an observer-based…

International Journal of Robust and Nonlinear Control, 2022, 32 (12), pp.6849-6865. ⟨10.1002/rnc.6175⟩. ⟨hal-03877290⟩

• Article dans une revue

Automated Storage and Retrieval Systems: An Attractive Solution for an Urban Warehouse’s Sustainable Development

Aurélie Edouard, Yves Sallez, Virginie Fortineau, Samir Lamouri, Alexandre Berger

In recent years, there has been an increasing awareness of sustainable development issues. Supply chain actors have become more and more aware of this situation, especially since the regulatory, social and societal pressures in this area are becoming more and more numerous. This state of affairs is…

Sustainability, 2022, 14 (15), pp.9518. ⟨10.3390/su14159518⟩. ⟨hal-04010682⟩

• Article dans une revue

Probabilistically Certified Region of Attraction of a Tumor Growth Model with Combined Chemo-and Immunotherapy

Kaouther Moussa, Mirko Fiacchini, Mazen Alamir

The recent progress in immunology lead to a considerable interest in modeling cancer dynamics in order to better understand and analyze such complex systems. Many works have been carried out in order to design cancer treatment protocols using mathematical models. One of the main complexities of…

International Journal of Robust and Nonlinear Control, 2022, 32 (11), pp.6539-6555. ⟨10.1002/rnc.6158⟩. ⟨hal-03651829⟩

• Article dans une revue

DMCSC: a fully distributed multi-coloring approach for scalable communication in synchronous broadcast networks

Youcef Imine, Hicham Lakhlef, Michel Raynal, François Taïani

The Internet of Things (IoT) has changed the worldwide network of people, smart devices, intelligent things, data, and information as an emergent technology. IoT development is still in its early stages, and numerous interrelated challenges must be addressed. IoT is the unifying idea of embedding…

Journal of Supercomputing, 2022, 79 (1), pp.788-813. ⟨10.1007/s11227-022-04700-3⟩. ⟨hal-04389352⟩

• Article dans une revue

Using deep learning to value free-form text data for predictive maintenance

Juan Pablo Usuga-Cadavid, Samir Lamouri, Bernard Grabot, Arnaud Fortin

Past maintenance logs may encapsulate meaningful data for predicting the duration of machine breakdowns, the potential causes of a problem, or the necessity to stop production to perform repair activities. These insights may be accessed using machine learning (ML). However, maintenance logs tend to…

International Journal of Production Research, 2022, 60 (14), pp.4548-4575. ⟨10.1080/00207543.2021.1951868⟩. ⟨hal-04010686⟩

• Article dans une revue

Some studies on reducing carbon dioxide emission from a CRDI engine with hydrogen and a carbon capture system

Edwin Geo Varuvel, Thiyagarajan Subramanian, Ankit Sonthalia, T. Prakash, Sary Awad, Fethi Aloui, Arivalagan Pugazhendhi

The increased use of fossil fuels in the transportation sector has led to an exponential rise of carbon dioxide in the atmosphere. The carbon dioxide (CO2) is the major cause of global warming resulting in climate change and extreme weather conditions. This study explores the ways of reducing the…

International Journal of Hydrogen Energy, 2022, 47 (62), pp.26746-26757. ⟨10.1016/j.ijhydene.2021.12.174⟩. ⟨hal-04165527⟩

• Article dans une revue

CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production

Ali Agga, Ahmed Abbou, Moussa Labbadi, Yassine El Houm, Imane Hammou Ou Ali

Climate change is pushing an increasing number of nations to use green energy resources, particularly solar power as an applicable substitute to traditional power sources. However, photovoltaic power generation is highly weather-dependent, relying mostly on solar irradiation that is highly unstable…

Electric Power Systems Research, 2022, 208, pp.107908. ⟨10.1016/j.epsr.2022.107908⟩. ⟨hal-03809814⟩

• Article dans une revue

Machine Learning Identifies Chronic Low Back Pain Patients from an Instrumented Trunk Bending and Return Test

Paul Thiry, Martin Houry, Laurent Philippe, Olivier Nocent, Fabien Buisseret, Frédéric Dierick, Rim Slama, William Bertucci, André Thévenon, Emilie Simoneau-Buessinger

Nowadays, the better assessment of low back pain (LBP) is an important challenge, as it is the leading musculoskeletal condition worldwide in terms of years of disability. The objective of this study was to evaluate the relevance of various machine learning (ML) algorithms and Sample Entropy (…

Sensors, 2022, 22 (13), pp.5027. ⟨10.3390/s22135027⟩. ⟨hal-03715856⟩

• Article dans une revue

Scheduled service network design with revenue management considerations and an intermodal barge transportation illustration

Ioana Bilegan, Teodor Gabriel Crainic, Yunfei Wang

European Journal of Operational Research, 2022, 300 (1), pp.164-177. ⟨10.1016/j.ejor.2021.07.032⟩. ⟨hal-05554126⟩