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2020 – today
- 2024
[j10]Teodoro Alamo
, Martina Mammarella, Fabrizio Dabbene, Mario Sznaier:
Tractable Approximations of LMI Robust Feasibility Sets. IEEE Control. Syst. Lett. 8: 472-477 (2024)- [i12]Martina Mammarella, Cesare Donati, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa:
A blended physics-based and black-box identification approach for spacecraft inertia estimation - EXTENDED VERSION. CoRR abs/2405.18186 (2024) - [i11]Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene:
Measured-state conditioned recursive feasibility for stochastic model predictive control. CoRR abs/2406.13522 (2024) - [i10]Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa:
First-order methods and automatic differentiation: A multi-step systems identification perspective. CoRR abs/2410.03544 (2024) - 2023
- [j9]Fabrizio Dabbene, Mark Cannon, Mohammadreza Chamanbaz, Alf J. Isaksson, Martina Mammarella, Davide M. Raimondo:
Guest Editorial Special Issue on State-of-the-Art Applications of Model Predictive Control. IEEE Trans. Control. Syst. Technol. 31(5): 1965-1970 (2023) - [c4]Martina Mammarella, Marco Giorgiutti, Fabrizio Dabbene:
Robust control techniques for geostationary satellites with rotating solar arrays. CCTA 2023: 406-411 - [i9]Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa:
One-shot backpropagation for multi-step prediction in physics-based system identification. CoRR abs/2310.20567 (2023) - 2022
- [j8]Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene:
Chance-constrained sets approximation: A probabilistic scaling approach. Autom. 137: 110108 (2022) - [j7]Victor Mirasierra, Martina Mammarella, Fabrizio Dabbene, Teodoro Alamo:
Prediction Error Quantification Through Probabilistic Scaling. IEEE Control. Syst. Lett. 6: 1118-1123 (2022) - [j6]Takumi Shimizu, Shunya Yamashita, Takeshi Hatanaka, Kuniaki Uto, Martina Mammarella, Fabrizio Dabbene:
Angle-Aware Coverage Control for 3-D Map Reconstruction With Drone Networks. IEEE Control. Syst. Lett. 6: 1831-1836 (2022) - [j5]Martina Mammarella, Abdulelah Altamimi, Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino Lagoa:
Fast Stochastic MPC Implementation via Policy Learning. IEEE Control. Syst. Lett. 6: 3020-3025 (2022) - [j4]Cesare Donati, Martina Mammarella, Lorenzo Comba, Alessandro Biglia, Paolo Gay, Fabrizio Dabbene:
3D Distance Filter for the Autonomous Navigation of UAVs in Agricultural Scenarios. Remote. Sens. 14(6): 1374 (2022) - [c3]Masaya Suenaga, Takumi Shimizu, Takeshi Hatanaka, Kuniaki Uto, Martina Mammarella, Fabrizio Dabbene:
Experimental Study on Angle-aware Coverage Control with Application to 3-D Visual Map Reconstruction. CCTA 2022: 327-333 - [i8]Martina Mammarella, Cesare Donati, Takumi Shimizu, Masaya Suenaga, Lorenzo Comba, Alessandro Biglia, Kuniaki Uto, Takeshi Hatanaka, Paolo Gay, Fabrizio Dabbene:
3D Map Reconstruction of an Orchard using an Angle-Aware Covering Control Strategy. CoRR abs/2202.02758 (2022) - 2021
- [i7]Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene:
Chance constrained sets approximation: A probabilistic scaling approach - EXTENDED VERSION. CoRR abs/2101.06052 (2021) - [i6]Victor Mirasierra, Martina Mammarella, Fabrizio Dabbene, Teodoro Alamo:
Prediction error quantification through probabilistic scaling. CoRR abs/2105.14187 (2021) - 2020
- [j3]Martina Mammarella, Elisa Capello:
Tube-Based Robust MPC Processor-in-the-Loop Validation for Fixed-Wing UAVs. J. Intell. Robotic Syst. 100(1): 239-258 (2020) - [j2]Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Giorgio Guglieri, Marcello Romano, Frank Allgöwer:
An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers. IEEE Trans. Control. Syst. Technol. 28(2): 388-402 (2020) - [c2]Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene, Matthias Lorenzen:
Computationally efficient stochastic MPC: a probabilistic scaling approach. CCTA 2020: 25-30 - [i5]Martina Mammarella, Teodoro Alamo, Sergio Lucia, Fabrizio Dabbene:
A probabilistic validation approach for penalty function design in Stochastic Model Predictive Control. CoRR abs/2003.07241 (2020) - [i4]Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene, Matthias Lorenzen:
Computationally efficient stochastic MPC: a probabilistic scaling approach. CoRR abs/2005.10572 (2020)
2010 – 2019
- 2018
- [j1]Martina Mammarella, Elisa Capello, Fabrizio Dabbene, Giorgio Guglieri:
Sample-Based SMPC for Tracking Control of Fixed-Wing UAV. IEEE Control. Syst. Lett. 2(4): 611-616 (2018) - [i3]Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Frank Allgöwer, Giorgio Guglieri, Marcello Romano:
An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers. CoRR abs/1803.01652 (2018) - [i2]Martina Mammarella, Elisa Capello:
A Tube-based Robust MPC for a Fixed-wing UAV: an Application for Precision Farming. CoRR abs/1805.04295 (2018) - [i1]Martina Mammarella, Elisa Capello, Fabrizio Dabbene:
Sample-based SMPC for tracking control of fixed-wing UAV: multi-scenario mapping. CoRR abs/1805.05879 (2018) - 2017
- [c1]Martina Mammarella, Elisa Capello, Matthias Lorenzen, Fabrizio Dabbene, Frank Allgöwer:
A general sampling-based SMPC approach to spacecraft proximity operations. CDC 2017: 4521-4526
Coauthor Index
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last updated on 2024-11-13 23:49 CET by the dblp team
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