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2020 – today
- 2022
[j6]Martina Mammarella
, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene:
Chance-constrained sets approximation: A probabilistic scaling approach. Autom. 137: 110108 (2022)- 2021
- [i6]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) - 2020
- [j5]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) - [c7]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, Fabrizio Dabbene, Matthias Lorenzen:
Computationally efficient stochastic MPC: a probabilistic scaling approach. CoRR abs/2005.10572 (2020)
2010 – 2019
- 2019
- [j4]Matthias Lorenzen, Mark Cannon, Frank Allgöwer:
Robust MPC with recursive model update. Autom. 103: 461-471 (2019) - [c6]Teodoro Alamo, Victor Mirasierra, Fabrizio Dabbene, Matthias Lorenzen:
Safe approximations of chance constrained sets by probabilistic scaling. ECC 2019: 1380-1385 - 2018
- [i4]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) - 2017
- [j3]Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer:
Stochastic MPC with offline uncertainty sampling. Autom. 81: 176-183 (2017) - [j2]Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer:
Constraint-Tightening and Stability in Stochastic Model Predictive Control. IEEE Trans. Autom. Control. 62(7): 3165-3177 (2017) - [c5]Matthias Lorenzen, Matthias Albrecht Müller, Frank Allgöwer:
Stabilizing stochastic MPC without terminal constraints. ACC 2017: 5636-5641 - [c4]Martina Mammarella, Elisa Capello, Matthias Lorenzen, Fabrizio Dabbene, Frank Allgöwer:
A general sampling-based SMPC approach to spacecraft proximity operations. CDC 2017: 4521-4526 - 2016
- [j1]Florian A. Bayer, Matthias Lorenzen, Matthias Albrecht Müller, Frank Allgöwer:
Robust economic Model Predictive Control using stochastic information. Autom. 74: 151-161 (2016) - [i3]Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer:
Stochastic MPC with Offline Uncertainty Sampling. CoRR abs/1606.06056 (2016) - 2015
- [c3]Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo:
An improved constraint-tightening approach for Stochastic MPC. ACC 2015: 944-949 - [c2]Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo:
Scenario-based Stochastic MPC with guaranteed recursive feasibility. CDC 2015: 4958-4963 - [i2]Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer:
Constraint-Tightening and Stability in Stochastic Model Predictive Control. CoRR abs/1511.03488 (2015) - 2014
- [c1]Matthias Lorenzen, Mohamed-Ali Belabbas:
Distributed local stabilization in formation control. ECC 2014: 2914-2919 - [i1]Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo:
An Improved Constraint-Tightening Approach for Stochastic MPC. CoRR abs/1409.8183 (2014)
Coauthor Index
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