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20232026
most citedApproximate non-linear model predictive control with safety-augmented neural networks

7 citations · 10 across the 10 of their papers we have counts for

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2 papers · 1 filter

eess.SY2024

Feedforward Controllers from Learned Dynamic Local Model Networks with Application to Excavator Assistance Functions

Leon Greiser, Ozan Demir, Benjamin Hartmann +2

Complicated first principles modelling and controller synthesis can be prohibitively slow and expensive for high-mix, low-volume products such as hydraulic excavators. Instead, in…

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…