Matthias Lorenzen

22 papers C 2Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
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
Multi-Waypoint Path Planning and Motion Control for Non-holonomic Mobile Robots in Agricultural Applications.
CoRR
Mahmoud Ghorab, Matthias Lorenzen
2022 J jnl
Chance-constrained sets approximation: A probabilistic scaling approach.
Autom.
Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene
2021 J jnl
Chance constrained sets approximation: A probabilistic scaling approach - EXTENDED VERSION.
CoRR
Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, 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
2019 J jnl
Robust MPC with recursive model update.
Autom.
Matthias Lorenzen, Mark Cannon, Frank Allgöwer
2019 — conf
Safe approximations of chance constrained sets by probabilistic scaling.
ECC
Teodoro Alamo, Victor Mirasierra, Fabrizio Dabbene, Matthias Lorenzen
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
2017 — conf
A general sampling-based SMPC approach to spacecraft proximity operations.
CDC
Martina Mammarella, Elisa Capello, Matthias Lorenzen, Fabrizio Dabbene, Frank Allgöwer
2017 J jnl
Constraint-Tightening and Stability in Stochastic Model Predictive Control.
IEEE Trans. Autom. Control.
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer
2017 C conf
Stabilizing stochastic MPC without terminal constraints.
ACC
Matthias Lorenzen, Matthias Albrecht Müller, Frank Allgöwer
2017 J jnl
Stochastic MPC with offline uncertainty sampling.
Autom.
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer
2016 J jnl
Robust economic Model Predictive Control using stochastic information.
Autom.
Florian A. Bayer, Matthias Lorenzen, Matthias Albrecht Müller, Frank Allgöwer
2016 J jnl
Stochastic MPC with Offline Uncertainty Sampling.
CoRR
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer
2015 C conf
An improved constraint-tightening approach for Stochastic MPC.
ACC
Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo
2015 J jnl
Constraint-Tightening and Stability in Stochastic Model Predictive Control.
CoRR
Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer
2015 — conf
Scenario-based Stochastic MPC with guaranteed recursive feasibility.
CDC
Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo
2014 J jnl
An Improved Constraint-Tightening Approach for Stochastic MPC.
CoRR
Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo
2014 — conf
Distributed local stabilization in formation control.
ECC
Matthias Lorenzen, Mohamed-Ali Belabbas