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From the 1 of 6 linked papers with an AI index.

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6 papers

eess.SY2026

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…

eess.SP2026

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…

math.DS2026

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…

eess.SY2025

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.…

eess.SY2025

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…

math.OC2025

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…