Andrea Martinelli

According to our database, Andrea Martinelli authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Parallel and Flexible Dynamic Programming via the Mini-Batch Bellman Operator.

Matilde Gargiani, Andrea Martinelli, Max Ruts Martinez, John Lygeros

IEEE Trans. Autom. Control., January, 2024

DSIPTS: A high productivity environment for time series forecasting models.

Andrea Gobbi, Andrea Martinelli, Marco Cristoforetti

SoftwareX, 2024

2023

Interconnection of Discrete-Time Dissipative Systems.

Andrea Martinelli, Ahmed Aboudonia, John Lygeros

CoRR, 2023

Data-driven optimal control via linear programming: boundedness guarantees.

Lucia Falconi, Andrea Martinelli, John Lygeros

CoRR, 2023

2022

Data-Driven Optimal Control of Affine Systems: A Linear Programming Perspective.

Andrea Martinelli, Matilde Gargiani, Marina Draskovic, John Lygeros

IEEE Control. Syst. Lett., 2022

Data-driven optimal control with a relaxed linear program.

Andrea Martinelli, Matilde Gargiani, John Lygeros

Autom., 2022

PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation.

Matilde Gargiani, Andrea Zanelli, Andrea Martinelli, Tyler H. Summers, John Lygeros

Proceedings of the International Conference on Machine Learning, 2022

Reconfigurable Plug-and-play Distributed Model Predictive Control for Reference Tracking.

Ahmed Aboudonia, Andrea Martinelli, Nicolas Hoischen, John Lygeros

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Passivity-Based Decentralized Control for Discrete-Time Large-Scale Systems.

Ahmed Aboudonia, Andrea Martinelli, John Lygeros

IEEE Control. Syst. Lett., 2021

On the Synthesis of Bellman Inequalities for Data-Driven Optimal Control.

Andrea Martinelli, Matilde Gargiani, John Lygeros

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Control of Networked Systems by Clustering: The Degree of Freedom Concept.

Andrea Martinelli, John Lygeros

CoRR, 2020

Learning Optimal Control Policies for Stochastic Systems with a Relaxed Bellman Operator.

Andrea Martinelli, John Lygeros

CoRR, 2020

A passivity-based approach to voltage stabilization in DC microgrids with ZIP loads.

Pulkit Nahata, Raffaele Soloperto, Michele Tucci, Andrea Martinelli, Giancarlo Ferrari-Trecate

Autom., 2020

2019

Secondary Control Strategies for DC Islanded Microgrids Operation.

Andrea Martinelli, Alessio La Bella, Riccardo Scattolini

Proceedings of the 17th European Control Conference, 2019

2018

Voltage Stabilization in MVDC Microgrids Using Passivity-Based Nonlinear Centrol* This work has received support from the Swiss National Science Foundation under the COFLEX project (grant number 200021-169906).

Andrea Martinelli, Pulkit Nahata, Giancarlo Ferrari-Trecate

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Plug-and-Play Voltage/Current Stabilization DC Microgrid Clusters with Grid-Forming/Feeding Converters.

Renke Han, Josep M. Guerrero, Michele Tucci, Andrea Martinelli, Giancarlo Ferrari-Trecate

Proceedings of the 2018 Annual American Control Conference, 2018