Andrea Pozzi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Materials Science

Imitation Learning

Predictive Control

Top Venues

Publications

Jorge Espin, Dong Zhang, Daniele Toti, Andrea Pozzi
Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging. CoRR (2024)
Andrea Pozzi, Daniele Toti
Imitation Learning for Agnostic Battery Charging: A DAGGER-Based Approach. IEEE Access 11 (2023)
Andrea Pozzi, Scott J. Moura, Daniele Toti
A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states. Comput. Chem. Eng. 173 (2023)
Enrico Barbierato, Andrea Pozzi, Daniele Tessera
Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling. IEEE Access 11 (2023)
Andrea Pozzi, Enrico Barbierato, Daniele Toti
Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News. Informatics 10 (1) (2023)
Pierluigi Del Nostro, Gerhard Goldbeck, Andrea Pozzi, Daniele Toti
Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem. Appl. Ontology 18 (2) (2023)
Andrea Pozzi, Enrico Barbierato, Daniele Toti
Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters. Sensors 23 (9) (2023)
Anne F. de Baas, Pierluigi Del Nostro, Jesper Friis, Emanuele Ghedini, Gerhard Goldbeck, Ilaria Maria Paponetti, Andrea Pozzi, Arkopaul Sarkar, Lan Yang, Francesco Antonio Zaccarini, Daniele Toti
Review and Alignment of Domain-Level Ontologies for Materials Science. IEEE Access 11 (2023)
Andrea Pozzi, Scott J. Moura, Daniele Toti
A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics. ICCA (2022)
Andrea Pozzi, Daniele Toti
Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries. Comput. Chem. Eng. 163 (2022)
Andrea Pozzi, Scott J. Moura, Daniele Toti
Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics. CCTA (2022)
Behrouz Zoghdar-Moghadam-Shahrekohne, Andrea Pozzi, Davide Martino Raimondo
SOS-based Stability Region Enlargement of Bilinear Power Converters through Model Predictive Control. MED (2021)
Andrea Pozzi, Massimo Zambelli, Antonella Ferrara, Davide Martino Raimondo
Balancing-Aware Charging Strategy for Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach. IEEE Trans. Control. Syst. Technol. 28 (5) (2020)
Saehong Park, Andrea Pozzi, Michael Whitmeyer, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura
Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries. CoRR (2020)
Andrea Pozzi, Xiangzhong Xie, Davide Martino Raimondo, René Schenkendorf
Global Sensitivity Methods for Design of Experiments in Lithium-ion Battery Context. CoRR (2020)
Andrea Pozzi, Sangjae Bae, Yongkeun Choi, Francesco Borrelli, Davide Martino Raimondo, Scott J. Moura
Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach. CDC (2020)
Saehong Park, Andrea Pozzi, Michael Whitmeyer, Hector Eduardo Perez, Won Tae Joe, Davide Martino Raimondo, Scott J. Moura
Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries. CCTA (2020)
Andrea Pozzi, Massimo Zambelli, Antonella Ferrara, Davide Martino Raimondo
Balancing-Aware Charging Strategy For Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach. CoRR (2019)
Andrea Pozzi, Marcello Torchio, Richard D. Braatz, Davide Martino Raimondo
Optimal Charging of an Electric Vehicle Battery Pack: A Real-Time Sensitivity-Based MPC approach. CoRR (2019)
Andrea Pozzi, Gabriele Ciaramella, Stefan Volkwein, Davide Martino Raimondo
Optimal design of experiments for a lithium-ion cell: parameters identification of a single particle model with electrolyte dynamics. CoRR (2018)
Andrea Pozzi, Marcello Torchio, Davide Martino Raimondo
Assessing the Performance of Model-Based Energy Saving Charging Strategies in Li-Ion Cells. CCTA (2018)
Andrea Pozzi, Marcello Torchio, Davide Martino Raimondo
Film growth minimization in a Li-ion cell: a Pseudo Two Dimensional model-based optimal charging approach. ECC (2018)
Andrea Pozzi, Gabriele Ciaramella, Krishnakumar Gopalakrishnan, Stefan Volkwein, Davide Martino Raimondo
Optimal Design of Experiment for Parameter Estimation of a Single Particle Model for Lithiumion Batteries. CDC (2018)