6 citations · 16 across the 8 of their papers we have counts for
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math.OC2023★ 2 cited
Efficient computation of Lipschitz constants for MPC with symmetries
Dieter Teichrib, Moritz Schulze Darup
Lipschitz constants for linear MPC are useful for certifying inherent robustness against unmodeled disturbances or robustness for neural network-based approximations of the control…
eess.SY2023★ 6 cited
Error bounds for maxout neural network approximations of model predictive control
Dieter Teichrib, Moritz Schulze Darup
Neural network (NN) approximations of model predictive control (MPC) are a versatile approach if the online solution of the underlying optimal control problem (OCP) is too demandin…