Alexandre Didier

22 papers A* 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multiobjective approach to robust predictive control barrier functions for discrete-time systems.
Autom.
Alexandre Didier, Melanie N. Zeilinger
2026 J jnl
Distributed Predictive Control Barrier Functions: Towards Scalable Safety Certification in Modular Multi-Agent Systems.
CoRR
Jonas Ohnemus, Alexandre Didier, Ahmed Aboudonia, Andrea Carron, Melanie N. Zeilinger
2025 J jnl
A multiobjective approach to robust predictive control barrier functions for discrete-time systems.
CoRR
Alexandre Didier, Melanie N. Zeilinger
2025 J jnl
Computationally efficient system level tube-MPC for uncertain systems.
Autom.
Jerome Sieber, Alexandre Didier, Melanie N. Zeilinger
2025 — conf
Moving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds.
ECC
Jelena Trisovic, Alexandre Didier, Simon Muntwiler, Melanie N. Zeilinger
2025 J jnl
Stochastic MPC with Online-optimized Policies and Closed-loop Guarantees.
CoRR
Marcell Bartos, Alexandre Didier, Jerome Sieber, Johannes Köhler, Melanie N. Zeilinger
2025 J jnl
Task-Level Insights from Eigenvalues across Sequence Models.
CoRR
Rahel Rickenbach, Jelena Trisovic, Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger
2024 J jnl
Approximate predictive control barrier function for discrete-time systems.
CoRR
Alexandre Didier, Melanie N. Zeilinger
2024 J jnl
Computationally Efficient System Level Tube-MPC for Uncertain Systems.
CoRR
Jerome Sieber, Alexandre Didier, Melanie N. Zeilinger
2024 J jnl
Moving Horizon Estimation for Simultaneous Localization and Mapping with Robust Estimation Error Bounds.
CoRR
Jelena Trisovic, Alexandre Didier, Simon Muntwiler, Melanie N. Zeilinger
2024 J jnl
Predictive stability filters for nonlinear dynamical systems affected by disturbances.
CoRR
Alexandre Didier, Andrea Zanelli, Kim Peter Wabersich, Melanie N. Zeilinger
2024 A* conf
Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks.
NeurIPS
Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie N. Zeilinger, Antonio Orvieto
2024 J jnl
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks.
CoRR
Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie N. Zeilinger, Antonio Orvieto
2023 — conf
Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter.
ECC
Alexandre Didier, Robin C. Jacobs, Jerome Sieber, Kim Peter Wabersich, Melanie N. Zeilinger
2022 J jnl
A System Level Approach to Regret Optimal Control.
CoRR
Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger
2022 J jnl
A System Level Approach to Regret Optimal Control.
IEEE Control. Syst. Lett.
Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger
2022 J jnl
Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter.
CoRR
Alexandre Didier, Robin C. Jacobs, Jerome Sieber, Kim Peter Wabersich, Melanie N. Zeilinger
2022 J jnl
Generalised Regret Optimal Controller Synthesis for Constrained Systems.
CoRR
Alexandre Didier, Melanie N. Zeilinger
2021 J jnl
Adaptive Model Predictive Safety Certification for Learning-based Control - Extended Version.
CoRR
Alexandre Didier, Kim Peter Wabersich, Melanie N. Zeilinger
2021 — conf
Adaptive Model Predictive Safety Certification for Learning-based Control.
CDC
Alexandre Didier, Kim Peter Wabersich, Melanie N. Zeilinger
2021 — conf
Robust Adaptive Model Predictive Control of Quadrotors.
ECC
Alexandre Didier, Anilkumar Parsi, Jeremy Coulson, Roy S. Smith
2021 J jnl
Robust Adaptive Model Predictive Control of Quadrotors.
CoRR
Alexandre Didier, Anilkumar Parsi, Jeremy Coulson, Roy S. Smith