6 citations · 41 across the 34 of their papers we have counts for
10 papers · 1 filter
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…
Encrypted system identification as-a-service via reliable encrypted matrix inversion
Janis Adamek, Philipp Binfet, Nils Schlüter +1
Encrypted computation opens up promising avenues across a plethora of application domains, including machine learning, health-care, finance, and control. Arithmetic homomorphic enc…
On the design of stabilizing FIR controllers
Janis Adamek, Nils Schlüter, Moritz Schulze Darup
Recently, it has been observed that finite impulse response controllers are an excellent basis for encrypted control, where privacy-preserving controller evaluations via special cr…
Privacy-preserving gradient-based fair federated learning
Janis Adamek, Moritz Schulze Darup
Federated learning (FL) schemes allow multiple participants to collaboratively train neural networks without the need to directly share the underlying data.However, in early scheme…
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…
A code-driven tutorial on encrypted control: From pioneering realizations to modern implementations
Nils Schlüter, Junsoo Kim, Moritz Schulze Darup
The growing interconnectivity in control systems due to robust wireless communication and cloud usage paves the way for exciting new opportunities such as data-driven control and s…
Towards a unifying framework for data-driven predictive control with quadratic regularization
Manuel Klädtke, Moritz Schulze Darup
Data-driven predictive control (DPC) has recently gained popularity as an alternative to model predictive control (MPC). Amidst the surge in proposed DPC frameworks, upon closer in…
MPC using mixed-integer programming for aquifer thermal energy storages
Johannes van Randenborgh, Moritz Schulze Darup
Aquifer thermal energy storages (ATES) are used to temporally store thermal energy in groundwater saturated aquifers. Typically, two storages are combined, one for heat and one for…
Extending direct data-driven predictive control towards systems with finite control sets
Manuel Klädtke, Moritz Schulze Darup, Daniel E. Quevedo
Although classical model predictive control with finite control sets (FCS-MPC) is quite a popular control method, particularly in the realm of power electronics systems, its direct…
Privacy Analysis of Affine Transformations in Cloud-based MPC: Vulnerability to Side-knowledge
Teimour Hosseinalizadeh, Nils Schlüter, Moritz Schulze Darup +1
Search for the optimizer in computationally demanding model predictive control (MPC) setups can be facilitated by Cloud as a service provider in cyber-physical systems. This advant…