6 citations · 41 across the 34 of their papers we have counts for
5 papers · 1 filter
Tailored neural networks for learning optimal value functions in MPC
Dieter Teichrib, Moritz Schulze Darup
Learning-based predictive control is a promising alternative to optimization-based MPC. However, efficiently learning the optimal control policy, the optimal value function, or the…
Secure learning-based MPC via garbled circuit
K. Tjell, N. Schlüter, P. Binfet +1
Encrypted control seeks confidential controller evaluation in cloud-based or networked systems. Many existing approaches build on homomorphic encryption (HE) that allow simple math…
Encrypted dynamic control with unlimited operating time via FIR filters
N. Schlüter, M. Neuhaus, M. Schulze Darup
Encrypted control enables confidential controller evaluations in cloud-based or networked control systems. From a technical point of view, an encrypted controller is a modified con…
Novel convex decomposition of piecewise affine functions
Nils Schlüter, Moritz Schulze Darup
In this paper, we present a novel approach to decompose a given piecewise affine (PWA) function into two convex PWA functions. Convex decompositions are useful to speed up or distr…
Teaching MPC: Which Way to the Promised Land?
Timm Faulwasser, Sergio Lucia, Moritz Schulze Darup +1
Since the earliest conceptualizations by Lee and Markus, and Propoi in the 1960s, Model Predictive Control (MPC) has become a major success story of systems and control with respec…