Pozzi, Andrea

Pozzi, Andrea  

BRESCIA - Dipartimento di Matematica e fisica 'Niccolò Tartaglia'  

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