most citedDMPC-Swarm: Distributed Model Predictive Control on Nano UAV Swarms

7 citations · 7 across the 3 of their papers we have counts for

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cs.RO2026

Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization

Henrik Hose, Paul Brunzema, Alexander von Rohr +3

Approximate model-predictive control (AMPC) aims to imitate an MPC's behavior with a neural network, removing the need to solve an expensive optimization problem at runtime. Howeve…