Plug-and-Play Voltage/Current Stabilization DC Microgrid Clusters with Grid-Forming/Feeding Converters. - Renke Han; Josep M. Guerrero; Michele Tucci 002; Andrea Martinelli; Giancarlo Ferrari-Trecate (ACC, 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 (CDC, 2018)

Secondary Control Strategies for DC Islanded Microgrids Operation. - Andrea Martinelli; Alessio La Bella; Riccardo Scattolini (ECC, 2019)

A passivity-based approach to voltage stabilization in DC microgrids with ZIP loads. - Pulkit Nahata; Raffaele Soloperto; Michele Tucci 002; Andrea Martinelli; Giancarlo Ferrari-Trecate (Autom., 2020)

Learning Optimal Control Policies for Stochastic Systems with a Relaxed Bellman Operator. - Andrea Martinelli; John Lygeros (CoRR, 2020)

Control of Networked Systems by Clustering: The Degree of Freedom Concept. - Andrea Martinelli; John Lygeros (CoRR, 2020)

On the Synthesis of Bellman Inequalities for Data-Driven Optimal Control. - Andrea Martinelli; Matilde Gargiani; John Lygeros (CDC, 2021)

Passivity-Based Decentralized Control for Discrete-Time Large-Scale Systems. - Ahmed Aboudonia; Andrea Martinelli; John Lygeros (IEEE Control. Syst. Lett., 2021)

Reconfigurable Plug-and-play Distributed Model Predictive Control for Reference Tracking. - Ahmed Aboudonia; Andrea Martinelli; Nicolas Hoischen; John Lygeros (CDC, 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 (ICML, 2022)

Data-driven optimal control with a relaxed linear program. - Andrea Martinelli; Matilde Gargiani; John Lygeros (Autom., 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)

Interconnection of Discrete-Time Dissipative Systems. - Andrea Martinelli; Ahmed Aboudonia; John Lygeros (CoRR, 2023)

DSIPTS: A high productivity environment for time series forecasting models. - Andrea Gobbi; Andrea Martinelli; Marco Cristoforetti (SoftwareX, 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., 2024)

Certifying Robustness via Topological Representations. - Jens Agerberg; Andrea Guidolin; Andrea Martinelli; Pepijn Roos Hoefgeest; David Eklund; Martina Scolamiero (CoRR, 2025)

Data-Driven Optimal Control via Linear Programming: Boundedness Guarantees. - Lucia Falconi; Andrea Martinelli; John Lygeros (IEEE Trans. Autom. Control., 2025)