3 citations · 7 across the 19 of their papers we have counts for
14 papers · 1 filter
Where to Put Safety? Control Barrier Function Placement in Networked Control Systems
Severin Beger, Yuling Chen, Sandra Hirche
Control barrier functions (CBFs) are widely used to enforce safety in autonomous systems, yet their placement within networked control architectures remains largely unexplored. In…
Online Bayesian Learning of Agent Behavior in Differential Games
Francesco Bianchin, Robert Lefringhausen, Sandra Hirche
This work introduces an online Bayesian game-theoretic method for behavior identification in multi-agent dynamical systems. By casting Hamilton-Jacobi-Bellman optimality conditions…
Learning Dynamics from Infrequent Output Measurements for Uncertainty-Aware Optimal Control
Robert Lefringhausen, Theodor Springer, Sandra Hirche
Reliable optimal control is challenging when the dynamics of a nonlinear system are unknown and only infrequent, noisy output measurements are available. This work addresses this s…
A Set-Theoretic Robust Control Approach for Linear Quadratic Games with Unknown Counterparts
Francesco Bianchin, Robert Lefringhausen, Elisa Gaetan +2
Ensuring robust decision-making in multi-agent systems is challenging when agents have distinct, possibly conflicting objectives and lack full knowledge of each other's strategies.…
Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference
Robert Lefringhausen, Sami Leon Noel Aziz Hanna, Elias August +1
Certifying safety in dynamical systems is crucial, but barrier certificates - widely used to verify that system trajectories remain within a safe region - typically require explici…
Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems
Sihua Zhang, Di-Hua Zhai, Xiaobing Dai +3
With the increasing complexity of real-world systems and varying environmental uncertainties, it is difficult to build an accurate dynamic model, which poses challenges especially…