3 papers
stat.ML2026
Comparison of neural network training strategies for the simulation of dynamical systems
Paul Strasser, Andreas Pfeffer, Jakob Weber +2
Neural networks have become a widely adopted tool for modeling nonlinear dynamical systems from data. However, the choice of training strategy remains a key design decision, partic…
cs.LG2025
Federated Learning for Data-Driven Feedforward Control: A Case Study on Vehicle Lateral Dynamics
Jakob Weber, Markus Gurtner, Benedikt Alt +2
In many control systems, tracking accuracy can be enhanced by combining (data-driven) feedforward (FF) control with feedback (FB) control. However, designing effective data-driven…
cs.LG2024
Combining Federated Learning and Control: A Survey
Jakob Weber, Markus Gurtner, Amadeus Lobe +2
This survey provides an overview of combining Federated Learning (FL) and control to enhance adaptability, scalability, generalization, and privacy in (nonlinear) control applicati…