Martina Mammarella

36 papers C 2Journal 27Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A kernel-based approach to physics-informed nonlinear system identification. CoRR Cesare Donati, Martina Mammarella, Giuseppe Carlo Calafiore, Fabrizio Dabbene, Constantino Lagoa, Carlo Novara
2025	J	`jnl`	Combining off-white and sparse black models in multi-step physics-based systems identification. Autom. Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino M. Lagoa
2025	C	`conf`	Controls for Space: a perspective to 2030s and beyond I. ACC Martina Mammarella, Simone D'Amico, Marco Pavone, Richard Linares, Michael J. Acheson, Finn Ankersen, Takahiro Sasaki, Elena Ancona, Jeremiah DiMatteo, Isaac A. Spiegel, Federica Paganelli Azza, Mattia Varile
2025	C	`conf`	Controls for Space: a perspective to 2030s and beyond II. ACC Martina Mammarella, Simone D'Amico, Marco Pavone, Richard Linares, Michael J. Acheson, Finn Ankersen, Takahiro Sasaki, Elena Ancona, Jeremiah DiMatteo, Isaac A. Spiegel, Federica Paganelli Azza, Mattia Varile
2025	—	`conf`	MPC-based motion planning for non-holonomic systems in non-convex domains. ECC Matthias Lorenzen, Teodoro Alamo, Martina Mammarella, Fabrizio Dabbene
2025	J	`jnl`	MPC-based motion planning for non-holonomic systems in non-convex domains. CoRR Matthias Lorenzen, Teodoro Alamo, Martina Mammarella, Fabrizio Dabbene
2025	J	`jnl`	Recovering nonlinear dynamics from non-uniform observations: A physics-based identification approach with practical case studies. CoRR Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
2025	J	`jnl`	Recursive feasibility for stochastic MPC and the rationale behind fixing flat tires. CoRR Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene
2024	J	`jnl`	A blended physics-based and black-box identification approach for spacecraft inertia estimation - EXTENDED VERSION. CoRR Martina Mammarella, Cesare Donati, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
2024	—	`conf`	A blended physics-based and black-box identification approach for spacecraft inertia estimation. CDC Martina Mammarella, Cesare Donati, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
2024	J	`jnl`	First-order methods and automatic differentiation: A multi-step systems identification perspective. CoRR Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
2024	—	`conf`	Impulsive thrust collision avoidance for long-term space encounters. CDC Matthieu Masson, Christian Artigues, Denis Arzelier, Fabrizio Dabbene, Mioara Joldes, Martina Mammarella, Federica Paganelli Azza
2024	J	`jnl`	Measured-state conditioned recursive feasibility for stochastic model predictive control. CoRR Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene
2024	J	`jnl`	Tractable Approximations of LMI Robust Feasibility Sets. IEEE Control. Syst. Lett. Teodoro Alamo, Martina Mammarella, Fabrizio Dabbene, Mario Sznaier
2023	J	`jnl`	Guest Editorial Special Issue on State-of-the-Art Applications of Model Predictive Control. IEEE Trans. Control. Syst. Technol. Fabrizio Dabbene, Mark Cannon, Mohammadreza Chamanbaz, Alf J. Isaksson, Martina Mammarella, Davide M. Raimondo
2023	J	`jnl`	One-shot backpropagation for multi-step prediction in physics-based system identification. CoRR Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
2023	—	`conf`	Robust control techniques for geostationary satellites with rotating solar arrays. CCTA Martina Mammarella, Marco Giorgiutti, Fabrizio Dabbene
2022	J	`jnl`	3D Distance Filter for the Autonomous Navigation of UAVs in Agricultural Scenarios. Remote. Sens. Cesare Donati, Martina Mammarella, Lorenzo Comba, Alessandro Biglia, Paolo Gay, Fabrizio Dabbene
2022	J	`jnl`	3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy. CoRR Martina Mammarella, Cesare Donati, Takumi Shimizu, Masaya Suenaga, Lorenzo Comba, Alessandro Biglia, Kuniaki Uto, Takeshi Hatanaka, Paolo Gay, Fabrizio Dabbene
2022	J	`jnl`	Angle-Aware Coverage Control for 3-D Map Reconstruction With Drone Networks. IEEE Control. Syst. Lett. Takumi Shimizu, Shunya Yamashita, Takeshi Hatanaka, Kuniaki Uto, Martina Mammarella, Fabrizio Dabbene
2022	J	`jnl`	Chance-constrained sets approximation: A probabilistic scaling approach. Autom. Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene
2022	—	`conf`	Experimental Study on Angle-aware Coverage Control with Application to 3-D Visual Map Reconstruction. CCTA Masaya Suenaga, Takumi Shimizu, Takeshi Hatanaka, Kuniaki Uto, Martina Mammarella, Fabrizio Dabbene
2022	J	`jnl`	Fast Stochastic MPC Implementation via Policy Learning. IEEE Control. Syst. Lett. Martina Mammarella, Abdulelah Altamimi, Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino Lagoa
2022	J	`jnl`	Prediction Error Quantification Through Probabilistic Scaling. IEEE Control. Syst. Lett. Victor Mirasierra, Martina Mammarella, Fabrizio Dabbene, Teodoro Alamo
2021	J	`jnl`	Chance constrained sets approximation: A probabilistic scaling approach - EXTENDED VERSION. CoRR Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene
2021	J	`jnl`	Prediction error quantification through probabilistic scaling. CoRR Victor Mirasierra, Martina Mammarella, Fabrizio Dabbene, Teodoro Alamo
2020	J	`jnl`	A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control. CoRR Martina Mammarella, Teodoro Alamo, Sergio Lucia, Fabrizio Dabbene
2020	J	`jnl`	An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers. IEEE Trans. Control. Syst. Technol. Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Giorgio Guglieri, Marcello Romano, Frank Allgöwer
2020	—	`conf`	Computationally efficient stochastic MPC: a probabilistic scaling approach. CCTA Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene, Matthias Lorenzen
2020	J	`jnl`	Computationally efficient stochastic MPC: a probabilistic scaling approach. CoRR Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene, Matthias Lorenzen
2020	J	`jnl`	Tube-Based Robust MPC Processor-in-the-Loop Validation for Fixed-Wing UAVs. J. Intell. Robotic Syst. Martina Mammarella, Elisa Capello
2018	J	`jnl`	A Tube-based Robust MPC for a Fixed-wing UAV: an Application for Precision Farming. CoRR Martina Mammarella, Elisa Capello
2018	J	`jnl`	An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers. CoRR Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Frank Allgöwer, Giorgio Guglieri, Marcello Romano
2018	J	`jnl`	Sample-Based SMPC for Tracking Control of Fixed-Wing UAV. IEEE Control. Syst. Lett. Martina Mammarella, Elisa Capello, Fabrizio Dabbene, Giorgio Guglieri
2018	J	`jnl`	Sample-based SMPC for tracking control of fixed-wing UAV: multi-scenario mapping. CoRR Martina Mammarella, Elisa Capello, Fabrizio Dabbene
2017	—	`conf`	A general sampling-based SMPC approach to spacecraft proximity operations. CDC Martina Mammarella, Elisa Capello, Matthias Lorenzen, Fabrizio Dabbene, Frank Allgöwer