Andrea Pozzi
Orcid: 0000-0002-9808-5123
According to our database1,
Andrea Pozzi
authored at least 24 papers
between 2018 and 2024.
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Bibliography
2024
IEEE Access, 2024
Bayesian Learning of Causal Networks for Unsupervised Fault Diagnosis in Distributed Energy Systems.
IEEE Access, 2024
Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging.
Proceedings of the American Control Conference, 2024
2023
Cryptoblend: An AI-Powered Tool for Aggregation and Summarization of Cryptocurrency News.
Informatics, March, 2023
Optimizing Battery Charging Using Neural Networks in the Presence of Unknown States and Parameters.
Sensors, 2023
A deep learning-based predictive controller for the optimal charging of a lithium-ion cell with non-measurable states.
Comput. Chem. Eng., 2023
Modeling experts, knowledge providers and expertise in Materials Modeling: MAEO as an application ontology of EMMO's ecosystem.
Appl. Ontology, 2023
IEEE Access, 2023
Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling.
IEEE Access, 2023
IEEE Access, 2023
2022
Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries.
Comput. Chem. Eng., 2022
A Neural Network-Based Approximation of Model Predictive Control for a Lithium-Ion Battery with Electro-Thermal Dynamics.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022
Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022
2021
SOS-based Stability Region Enlargement of Bilinear Power Converters through Model Predictive Control.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021
2020
Balancing-Aware Charging Strategy for Series-Connected Lithium-Ion Cells: A Nonlinear Model Predictive Control Approach.
IEEE Trans. Control. Syst. Technol., 2020
CoRR, 2020
CoRR, 2020
Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
2019
Optimal Charging of an Electric Vehicle Battery Pack: A Real-Time Sensitivity-Based MPC approach.
CoRR, 2019
2018
Optimal design of experiments for a lithium-ion cell: parameters identification of a single particle model with electrolyte dynamics.
CoRR, 2018
Film growth minimization in a Li-ion cell: a Pseudo Two Dimensional model-based optimal charging approach.
Proceedings of the 16th European Control Conference, 2018
Optimal Design of Experiment for Parameter Estimation of a Single Particle Model for Lithiumion Batteries.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Assessing the Performance of Model-Based Energy Saving Charging Strategies in Li-Ion Cells.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018