3 papers
eess.SY2025
A mixed-integer framework for analyzing neural network-based controllers for piecewise affine systems with bounded disturbances
Dieter Teichrib, Moritz Schulze Darup
We present a method for representing the closed-loop dynamics of piecewise affine (PWA) systems with bounded additive disturbances and neural network-based controllers as mixed-int…
eess.SY2024
Reachability analysis for piecewise affine systems with neural network-based controllers
Dieter Teichrib, Moritz Schulze Darup
Neural networks (NN) have been successfully applied to approximate various types of complex control laws, resulting in low-complexity NN-based controllers that are fast to evaluate…
math.OC2024
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…