MM
Martina Mammarella
cs.SYeess.SYmath.OCcs.ROcs.LGmath.STq-bio.OTstat.MLstat.TH
On Valency
published · living versionsW_6gtg84rj·v1 · currentpublished
Geometric Pairwise Classification of Affine Constraints over Ellipsoidal Regions
with Igor M. L. Pataro, Fabrizio Dabbene, Teodoro Alamo
1 version
Preprints & journals
18 papers in the corpus · 2018–2026Directional Conformal Uncertainty Quantification from Learned Model Discrepancy2607.29344v1 · Cesare Donati, Fabrizio Dabbene, Martina Mammarella2026 · 0 citationsarXiv
MPC-based motion planning for non-holonomic systems in non-convex domains2510.18402v1 · Matthias Lorenzen, Teodoro Alamo, Martina Mammarella et al.2025 · 0 citationsarXiv
A kernel-based approach to physics-informed nonlinear system identification2509.07634v2 · Cesare Donati, Martina Mammarella, Giuseppe C. Calafiore et al.2025 · 2 citationsarXiv
Recursive feasibility for stochastic MPC and the rationale behind fixing flat tires2504.17718v1 · Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene2025 · 0 citationsarXiv
Recovering nonlinear dynamics from non-uniform observations: A physics-based identification approach with practical case studies2502.10014v1 · Cesare Donati, Martina Mammarella, Fabrizio Dabbene et al.2025 · 2 citationsIn: Control Engineering Practice, Volume 164, 2025, 106411
A scalable, gradient-stable approach to multi-step, nonlinear system identification using first-order methods2410.03544v2 · Cesare Donati, Martina Mammarella, Fabrizio Dabbene et al.2024 · 0 citationsarXiv
Measured-state conditioned recursive feasibility for stochastic model predictive control2406.13522v1 · Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene2024 · 1 citationarXiv
Combining Off-White and Sparse Black Models in Multi-step Physics-based Systems Identification -- EXTENDED VERSION2405.18186v2 · Cesare Donati, Martina Mammarella, Fabrizio Dabbene et al.2024 · 6 citationsIn: Automatica, Volume 179, 2025, 112409
One-shot backpropagation for multi-step prediction in physics-based system identification -- EXTENDED VERSION2310.20567v2 · Cesare Donati, Martina Mammarella, Fabrizio Dabbene et al.2023 · 4 citationsIn: Proceedings of 20th IFAC Symposium on System Identification (SYSID 2024), Boston, United States, July 17-19, 2024
3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy2202.02758v1 · Martina Mammarella, Cesare Donati, Takumi Shimizu et al.2022 · 12 citationsarXiv
Prediction error quantification through probabilistic scaling -- EXTENDED VERSION2105.14187v2 · Victor Mirasierra, Martina Mammarella, Fabrizio Dabbene et al.2021 · 0 citationsarXiv
Chance constrained sets approximation: A probabilistic scaling approach -- EXTENDED VERSION2101.06052v2 · Martina Mammarella, Victor Mirasierra, Matthias Lorenzen et al.2021 · 3 citationsarXiv
Computationally efficient stochastic MPC: a probabilistic scaling approach2005.10572v1 · Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene et al.2020 · 13 citationsarXiv
Open Data Resources for Fighting COVID-192004.06111v3 · Teodoro Alamo, Daniel G. Reina, Martina Mammarella et al.2020 · 18 citationsarXiv
A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control2003.07241v1 · Martina Mammarella, Teodoro Alamo, Sergio Lucia et al.2020 · 7 citationsarXiv
Sample-based SMPC for tracking control of fixed-wing UAV: multi-scenario mapping1805.05879v1 · Martina Mammarella, Elisa Capello, Fabrizio Dabbene2018 · 1 citationarXiv
A Tube-based Robust MPC for a Fixed-wing UAV: an Application for Precision Farming1805.04295v1 · Martina Mammarella, Elisa Capello2018 · 1 citationarXiv
An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers1803.01652v2 · Martina Mammarella, Matthias Lorenzen, Elisa Capello et al.2018 · 2 citationsarXiv
Career total: 72 works. 18 are in this corpus.
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