A general sampling-based SMPC approach to spacecraft proximity operations. - Martina Mammarella; Elisa Capello; Matthias Lorenzen; Fabrizio Dabbene; Frank Allgöwer (CDC, 2017)

An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers. - Martina Mammarella; Matthias Lorenzen; Elisa Capello; Hyeongjun Park; Fabrizio Dabbene; Frank Allgöwer; Giorgio Guglieri; Marcello Romano (CoRR, 2018)

A Tube-based Robust MPC for a Fixed-wing UAV: an Application for Precision Farming. - Martina Mammarella; Elisa Capello (CoRR, 2018)

Sample-based SMPC for tracking control of fixed-wing UAV: multi-scenario mapping. - Martina Mammarella; Elisa Capello; Fabrizio Dabbene (CoRR, 2018)

Sample-Based SMPC for Tracking Control of Fixed-Wing UAV. - Martina Mammarella; Elisa Capello; Fabrizio Dabbene; Giorgio Guglieri (IEEE Control. Syst. Lett., 2018)

Computationally efficient stochastic MPC: a probabilistic scaling approach. - Martina Mammarella; Teodoro Alamo; Fabrizio Dabbene; Matthias Lorenzen (CCTA, 2020)

A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control. - Martina Mammarella; Teodoro Alamo; Sergio Lucia; Fabrizio Dabbene (CoRR, 2020)

Tube-Based Robust MPC Processor-in-the-Loop Validation for Fixed-Wing UAVs. - Martina Mammarella; Elisa Capello (J. Intell. Robotic Syst., 2020)

An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers. - Martina Mammarella; Matthias Lorenzen; Elisa Capello; Hyeongjun Park; Fabrizio Dabbene; Giorgio Guglieri; Marcello Romano; Frank Allgöwer (IEEE Trans. Control. Syst. Technol., 2020)

Chance constrained sets approximation: A probabilistic scaling approach - EXTENDED VERSION. - Martina Mammarella; Victor Mirasierra; Matthias Lorenzen; Teodoro Alamo; Fabrizio Dabbene (CoRR, 2021)

Experimental Study on Angle-aware Coverage Control with Application to 3-D Visual Map Reconstruction. - Masaya Suenaga; Takumi Shimizu; Takeshi Hatanaka; Kuniaki Uto; Martina Mammarella; Fabrizio Dabbene (CCTA, 2022)

Chance-constrained sets approximation: A probabilistic scaling approach. - Martina Mammarella; Victor Mirasierra; Matthias Lorenzen; Teodoro Alamo; Fabrizio Dabbene (Autom., 2022)

3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy. - Martina Mammarella; Cesare Donati; Takumi Shimizu; Masaya Suenaga; Lorenzo Comba; Alessandro Biglia; Kuniaki Uto; Takeshi Hatanaka; Paolo Gay; Fabrizio Dabbene (CoRR, 2022)

Fast Stochastic MPC Implementation via Policy Learning. - Martina Mammarella; Abdulelah Altamimi; Mohammadreza Chamanbaz; Fabrizio Dabbene; Constantino Lagoa (IEEE Control. Syst. Lett., 2022)

Prediction Error Quantification Through Probabilistic Scaling. - Victor Mirasierra; Martina Mammarella; Fabrizio Dabbene; Teodoro Alamo (IEEE Control. Syst. Lett., 2022)

Angle-Aware Coverage Control for 3-D Map Reconstruction With Drone Networks. - Takumi Shimizu; Shunya Yamashita; Takeshi Hatanaka; Kuniaki Uto; Martina Mammarella; Fabrizio Dabbene (IEEE Control. Syst. Lett., 2022)

3D Distance Filter for the Autonomous Navigation of UAVs in Agricultural Scenarios. - Cesare Donati; Martina Mammarella; Lorenzo Comba; Alessandro Biglia; Paolo Gay; Fabrizio Dabbene (Remote. Sens., 2022)

Robust control techniques for geostationary satellites with rotating solar arrays. - Martina Mammarella; Marco Giorgiutti; Fabrizio Dabbene (CCTA, 2023)

One-shot backpropagation for multi-step prediction in physics-based system identification. - Cesare Donati; Martina Mammarella; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CoRR, 2023)

Guest Editorial Special Issue on State-of-the-Art Applications of Model Predictive Control. - Fabrizio Dabbene; Mark Cannon; Mohammadreza Chamanbaz; Alf J. Isaksson; Martina Mammarella; Davide M. Raimondo (IEEE Trans. Control. Syst. Technol., 2023)

A blended physics-based and black-box identification approach for spacecraft inertia estimation. - Martina Mammarella; Cesare Donati; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CDC, 2024)

Impulsive thrust collision avoidance for long-term space encounters. - Matthieu Masson; Christian Artigues; Denis Arzelier; Fabrizio Dabbene; Mioara Joldes; Martina Mammarella; Federica Paganelli Azza (CDC, 2024)

A blended physics-based and black-box identification approach for spacecraft inertia estimation - EXTENDED VERSION. - Martina Mammarella; Cesare Donati; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CoRR, 2024)

Measured-state conditioned recursive feasibility for stochastic model predictive control. - Mirko Fiacchini; Martina Mammarella; Fabrizio Dabbene (CoRR, 2024)

First-order methods and automatic differentiation: A multi-step systems identification perspective. - Cesare Donati; Martina Mammarella; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CoRR, 2024)

Tractable Approximations of LMI Robust Feasibility Sets. - Teodoro Alamo; Martina Mammarella; Fabrizio Dabbene; Mario Sznaier (IEEE Control. Syst. Lett., 2024)

Controls for Space: a perspective to 2030s and beyond I. - Martina Mammarella; Simone D'Amico; Marco Pavone 001; Richard Linares; Michael J. Acheson; Finn Ankersen; Takahiro Sasaki; Elena Ancona; Jeremiah DiMatteo; Isaac A. Spiegel; Federica Paganelli Azza; Mattia Varile (ACC, 2025)

Controls for Space: a perspective to 2030s and beyond II. - Martina Mammarella; Simone D'Amico; Marco Pavone 001; Richard Linares; Michael J. Acheson; Finn Ankersen; Takahiro Sasaki; Elena Ancona; Jeremiah DiMatteo; Isaac A. Spiegel; Federica Paganelli Azza; Mattia Varile (ACC, 2025)

Combining off-white and sparse black models in multi-step physics-based systems identification. - Cesare Donati; Martina Mammarella; Fabrizio Dabbene; Carlo Novara; Constantino M. Lagoa (Autom., 2025)

Recovering nonlinear dynamics from non-uniform observations: A physics-based identification approach with practical case studies. - Cesare Donati; Martina Mammarella; Fabrizio Dabbene; Carlo Novara; Constantino Lagoa (CoRR, 2025)

Recursive feasibility for stochastic MPC and the rationale behind fixing flat tires. - Mirko Fiacchini; Martina Mammarella; Fabrizio Dabbene (CoRR, 2025)