Pozzi, Andrea
Pozzi, Andrea
BRESCIA - Dipartimento di Matematica e fisica 'Niccolò Tartaglia'
A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states
2023 Pozzi, Andrea; Moura, S.; Toti, Daniele
Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News
2023 Pozzi, Andrea; Barbierato, Enrico; Toti, Daniele
Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach
2023 Pozzi, Andrea; Toti, Daniele
Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem
2023 Del Nostro, P.; Goldbeck, G.; Pozzi, Andrea; Toti, Daniele
Natural Language Understanding for the Recommendation of Learning Resources Within Student Collaboration Tools
2023 Capuano, N.; Lomasto, L.; Pozzi, Andrea; Toti, Daniele
Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters
2023 Pozzi, Andrea; Barbierato, Enrico; Toti, Daniele
Review and Alignment of Domain-Level Ontologies for Materials Science
2023 De Baas, A.; Nostro, P. D.; Friis, J.; Ghedini, E.; Goldbeck, G.; Paponetti, I. M.; Pozzi, Andrea; Sarkar, A.; Yang, L.; Zaccarini, F. A.; Toti, Daniele
A Deep Reinforcement Learning Framework for Fast Charging of Li-Ion Batteries
2022 Park, S.; Pozzi, Andrea; Whitmeyer, M.; Perez, H.; Kandel, A.; Kim, G.; Choi, Y.; Joe, W. T.; Raimondo, D. M.; Moura, S.
A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics
2022 Pozzi, A.; Moura, S.; Toti, D.
Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics
2022 Pozzi, Andrea; Moura, S.; Toti, Daniele
Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries
2022 Pozzi, Andrea; Toti, Daniele
Stochastic model predictive control for optimal charging of electric vehicles battery packs
2022 Pozzi, Andrea; Raimondo, D. M.
SOS-based stability region enlargement of bilinear power converters through model predictive control
2021 Zoghdar-Moghadam-Shahrekohne, B.; Pozzi, Andrea; Raimondo, D. M.
Balancing-aware charging strategy for series-connected lithium-ion cells: A nonlinear model predictive control approach
2020 Pozzi, Andrea; Zambelli, M.; Ferrara, A.; Raimondo, D. M.
Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach
2020 Pozzi, Andrea; Bae, S.; Choi, Y.; Borrelli, F.; Raimondo, D. M.; Moura, S.
Global sensitivity methods for design of experiments in lithium-ion battery context
2020 Pozzi, Andrea; Xie, X.; Raimondo, D. M.; Schenkendorf, R.
Optimal charging of an electric vehicle battery pack: A real-time sensitivity-based model predictive control approach
2020 Pozzi, Andrea; Torchio, M.; Braatz, R. D.; Raimondo, D. M.
Reinforcement learning-based fast charging control strategy for li-ion batteries
2020 Park, S.; Pozzi, Andrea; Whitmeyer, M.; Perez, H.; Joe, W. T.; Raimondo, D. M.; Moura, S.
Optimal Design of Experiments for a Lithium-Ion Cell: Parameters Identification of an Isothermal Single Particle Model with Electrolyte Dynamics
2019 Pozzi, Andrea; Ciaramella, G.; Volkwein, S.; Raimondo, D. M.
Assessing the Performance of Model-Based Energy Saving Charging Strategies in Li-Ion Cells
2018 Pozzi, Andrea; Torchio, M.; Raimondo, D. M.