Matthias Lorenzen

According to our database, Matthias Lorenzen authored at least 15 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Chance-constrained sets approximation: A probabilistic scaling approach.

Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene

Autom., 2022

2021

Chance constrained sets approximation: A probabilistic scaling approach - EXTENDED VERSION.

Martina Mammarella, Victor Mirasierra, Matthias Lorenzen, Teodoro Alamo, Fabrizio Dabbene

CoRR, 2021

2020

An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers.

Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Giorgio Guglieri, Marcello Romano, Frank Allgöwer

IEEE Trans. Control. Syst. Technol., 2020

Computationally efficient stochastic MPC: a probabilistic scaling approach.

Martina Mammarella, Teodoro Alamo, Fabrizio Dabbene, Matthias Lorenzen

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019

Robust MPC with recursive model update.

Matthias Lorenzen, Mark Cannon, Frank Allgöwer

Autom., 2019

Safe approximations of chance constrained sets by probabilistic scaling.

Teodoro Alamo, Victor Mirasierra, Fabrizio Dabbene, Matthias Lorenzen

Proceedings of the 17th European Control Conference, 2019

2018

An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers.

Martina Mammarella, Matthias Lorenzen, Elisa Capello, Hyeongjun Park, Fabrizio Dabbene, Frank Allgöwer, Giorgio Guglieri, Marcello Romano

CoRR, 2018

2017

Constraint-Tightening and Stability in Stochastic Model Predictive Control.

Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer

IEEE Trans. Autom. Control., 2017

Stochastic MPC with offline uncertainty sampling.

Matthias Lorenzen, Fabrizio Dabbene, Roberto Tempo, Frank Allgöwer

Autom., 2017

A general sampling-based SMPC approach to spacecraft proximity operations.

Martina Mammarella, Elisa Capello, Matthias Lorenzen, Fabrizio Dabbene, Frank Allgöwer

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Stabilizing stochastic MPC without terminal constraints.

Matthias Lorenzen, Matthias Albrecht Müller, Frank Allgöwer

Proceedings of the 2017 American Control Conference, 2017

2016

Robust economic Model Predictive Control using stochastic information.

Florian A. Bayer, Matthias Lorenzen, Matthias Albrecht Müller, Frank Allgöwer

Autom., 2016

2015

Scenario-based Stochastic MPC with guaranteed recursive feasibility.

Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

An improved constraint-tightening approach for Stochastic MPC.

Matthias Lorenzen, Frank Allgöwer, Fabrizio Dabbene, Roberto Tempo

Proceedings of the American Control Conference, 2015

2014

Distributed local stabilization in formation control.

Matthias Lorenzen, Mohamed-Ali Belabbas

Proceedings of the 13th European Control Conference, 2014