3 papers
cs.LG2026
Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devices
Alexander Gräfe, Ding Huo, Vincent de Bakker +3
Transformer models are rapidly becoming a cornerstone of modern Internet of Things (IoT) applications, yet their computational and memory demands far exceed the capabilities of a s…
eess.SY2024
Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining
Henrik Hose, Alexander Gräfe, Sebastian Trimpe
Model Predictive Control (MPC) is a method to control nonlinear systems with guaranteed stability and constraint satisfaction but suffers from high computation times. Approximate M…
eess.SY2022
Event-triggered and distributed model predictive control for guaranteed collision avoidance in UAV swarms
Alexander Gräfe, Joram Eickhoff, Sebastian Trimpe
Distributed model predictive control (DMPC) is often used to tackle path planning for unmanned aerial vehicle (UAV) swarms. However, it requires considerable computations on-board…