From the 1 of 6 linked papers with an AI index.
6 papers
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
The paper presents a fully functional prototype of a UAV‑mounted reconfigurable intelligent surface (RIS) that can be reconfigured in real time using pose estimates from an extende…
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…
Efficient Adjoint Petrov-Galerkin Reduced Order Models for fluid flows governed by the incompressible Navier-Stokes equations
Kamil David Sommer, Lucas Mieg, Siddharth Sharma +2
This research paper investigates the Adjoint Petrov-Galerkin (APG) method for reduced order models (ROM) and fluid dynamics governed by the incompressible Navier-Stokes equations.…
Learning to Solve Parametric Mixed-Integer Optimal Control Problems via Differentiable Predictive Control
Ján Boldocký, Shahriar Dadras Javan, Martin Gulan +2
We propose a novel approach to solving input- and state-constrained parametric mixed-integer optimal control problems using Differentiable Predictive Control (DPC). Our approach fo…
Optimal Mode Decomposition for Control
Lucas Mieg, Martin Mönnigmann
We present an extension of optimal mode decomposition (OMD) for autonomous systems to systems with controls. The extension is developed along the same lines as the extension of dyn…