activity
20222025
most citedDiscovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators

7 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2025

Model order reduction via Lie groups

Yannik P. Wotte, Patrick Buchfink, Silke Glas +2

Lie groups and their actions are ubiquitous in the description of physical systems, and we explore implications in the setting of model order reduction (MOR). We present a novel fr…

math.DS2025

Symmetric Lyapunov Subcenter Manifolds for Periodic Regulation of Mechanical Systems

Yannik P. Wotte, Arne Sachtler, Alin Albu-Schäffer +2

Multi-body mechanical systems have rich internal dynamics, whose solutions can be exploited as energy-efficient control targets. Yet, solutions non-trivially depend on system param…

eess.SY2024★ 1 cited

Swing-Up of a Weakly Actuated Double Pendulum via Nonlinear Normal Modes

Arne Sachtler, Davide Calzolari, Maximilian Raff +5

We identify the nonlinear normal modes spawning from the stable equilibrium of a double pendulum under gravity, and we establish their connection to homoclinic orbits through the u…

math.OC2024★ 4 cited

Optimal Potential Shaping on SE(3) via Neural ODEs on Lie Groups

Yannik P. Wotte, Federico Califano, Stefano Stramigioli

This work presents a novel approach for the optimization of dynamic systems on finite-dimensional Lie groups. We rephrase dynamic systems as so-called neural ordinary differential…

math.OC2022★ 7 cited

Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators

Yannik Wotte, Sven Dummer, Nicolò Botteghi +3

It is well known that conservative mechanical systems exhibit local oscillatory behaviours due to their elastic and gravitational potentials, which completely characterise these pe…