41 citations · 73 across the 13 of their papers we have counts for
15 papers
LIVE-RIS: A Comprehensive In-Flight Dataset for UAV-Mounted RIS Channel Measurements
David Müller, Kevin Weinberger, Aydin Sezgin +1
The dynamic control of the wireless propagation environment enabled by reconfigurable intelligent surfaces (RISs) makes them a promising technology for sixth-generation (6G) wirele…
Dynamical principles of habituation across substrates and scales
Matthew Smart, Stanislav Y. Shvartsman, Martin Mönnigmann
Habituation is a basic form of learning in which a system's response to repeated stimulation progressively diminishes but eventually recovers when the stimulus is withheld. Long st…
LIVE-RIS: Real-Time In-Flight Actuation of UAV-Mounted RIS
David Müller, Kevin Weinberger, Aydin Sezgin +1
Reconfigurable intelligent surfaces (RIS) are emerging as a key technology for sixth-generation (6G) wireless networks due to their ability to dynamically control the propagation e…
Design and Deployment Guidelines for UAV-Mounted RIS Under Position Uncertainty
Kevin Weinberger, David Müller, Martin Mönnigmann +1
UAV-mounted reconfigurable intelligent surfaces (RIS) are a promising enabler for 6G networks, offering dynamic control of wireless propagation for coverage enhancement, integrated…
Learning Control-Affine Reduced-Order Models via Autoencoders
Ali Mjalled, Martin Mönnigmann
We present in this paper a framework for the identification of control-affine reduced-order models (ROMs). The proposed method utilizes autoencoders (AEs) to transform the high-dim…
Minimal motifs for habituating systems
Matthew Smart, Stanislav Y. Shvartsman, Martin Mönnigmann
Habituation - a phenomenon in which a dynamical system exhibits a diminishing response to repeated stimulations that eventually recovers when the stimulus is withheld - is universa…
A minimal dynamical system and analog circuit for non-associative learning
Matthew Smart, Stanislav Y. Shvartsman, Martin Mönnigmann
Learning in living organisms is typically associated with networks of neurons. The use of large numbers of adjustable units has also been a crucial factor in the continued success…
Exploiting symmetries in active set enumeration for constrained linear-quadratic optimal control
Ruth Mitze, Michal Kvasnica, Martin Mönnigmann
This paper studies symmetric constrained linear-quadratic optimal control problems and their parametric solutions. The parametric solution of such a problem is a piecewise-affine f…
Estimating flow fields with Reduced Order Models
Kamil David Sommer, Lucas Reineking, Yogesh Parry Ravichandran +2
The estimation of fluid flows inside a centrifugal pump in realtime is a challenging task that cannot be achieved with long-established methods like CFD due to their computational…
Reducing the computational effort of min-max model predictive control with regional feedback laws
Kai König, Martin Mönnigmann
Recently, a regional MPC approach has been proposed that exploits the piecewise affine structure of the optimal solution (without computing the entire explicit solution before). He…
Improved automatic computation of Hessian matrix spectral bounds
Moritz Schulze Darup, Martin Mönnigmann
This paper presents a fast and powerful method for the computation of eigenvalue bounds for Hessian matrices of nonlinear functions $φ: U \subseteq R^n\rightarrow…
Simulation studies on online constraint removal with a Lyapunov function
Michael Jost, Gabriele Pannocchia, Martin Mönnigmann
We apply a recently proposed method for the acceleration of model predictive control (MPC) to 36 MPC implementations, which result from combining six sample receding horizon contro…
Robust optimization of periodically operated nonlinear uncertain processes
Darya Kastsian, Martin Mönnigmann
We present a method for determining optimal modes of operation for autonomously oscillating systems with uncertain parameters. In a typical application of the method, a nonlinear d…
Efficient Computation of Spectral Bounds for Hessian Matrices on Hyperrectangles for Global Optimization
Moritz Schulze Darup, Martin Kastsian, Stefan Mross +1
We compare two established and a new method for the calculation of spectral bounds for Hessian matrices on hyperrectangles by applying them to a large collection of 1522 objective…
Five-loop additive renormalization in the phi^4 theory and amplitude functions of the minimally renormalized specific heat in three dimensions
S. A. Larin, M. Moennigmann, M. Stroesser +1
We present an analytic five-loop calculation for the additive renormalization constant A(u,epsilon) and the associated renormalization-group function B(u) of the specific heat of t…