18 citations · 42 across the 13 of their papers we have counts for
20 papers
Near-Optimal Multi-Agent Learning for Safe Coverage Control
Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger +1
In multi-agent coverage control problems, agents navigate their environment to reach locations that maximize the coverage of some density. In practice, the density is rarely known…
Stochastic MPC with robustness to bounded parametric uncertainty
Elena Arcari, Andrea Iannelli, Andrea Carron +1
The performance of model-based control techniques strongly depends on the quality of the employed dynamics model. If strong guarantees are desired, it is therefore common to robust…
A System Level Approach to Regret Optimal Control
Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger
We present an optimisation-based method for synthesising a dynamic regret optimal controller for linear systems with potentially adversarial disturbances and known or adversarial i…
System Level Disturbance Reachable Sets and their Application to Tube-based MPC
Jerome Sieber, Andrea Zanelli, Samir Bennani +1
Tube-based model predictive control (MPC) methods leverage tubes to bound deviations from a nominal trajectory due to uncertainties in order to ensure constraint satisfaction. This…
Adaptive Model Predictive Safety Certification for Learning-based Control -- Extended Version
Alexandre Didier, Kim P. Wabersich, Melanie N. Zeilinger
We propose an adaptive Model Predictive Safety Certification (MPSC) scheme for learning-based control of linear systems with bounded disturbances and uncertain parameters where the…
A System Level Approach to Tube-based Model Predictive Control
Jerome Sieber, Samir Bennani, Melanie N. Zeilinger
Robust tube-based model predictive control (MPC) methods address constraint satisfaction by leveraging an a priori determined tube controller in the prediction to tighten the const…