6 citations · 16 across the 8 of their papers we have counts for
3 papers · 1 filter
Towards learning-enhanced solvers for multi-parametric optimization
Dieter Teichrib, Fabian König, Moritz Schulze Darup
Neural networks (NNs) have been employed in various ways to accelerate the solution of multi-parametric optimization problems (OPs), which prominently arise in model predictive con…
Piecewise regression via mixed-integer programming for MPC
Dieter Teichrib, Moritz Schulze Darup
Piecewise regression is a versatile approach used in various disciplines to approximate complex functions from limited, potentially noisy data points. In control, piecewise regress…
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…