23 citations · 28 across the 3 of their papers we have counts for
5 papers
A Trajectory-Based Approach to Discrete-Time Flatness
Johannes Diwold, Bernd Kolar, Markus Schöberl
For discrete-time systems, flatness is usually defined by replacing the time-derivatives of the well-known continuous-time definition by forward-shifts. With this definition, the c…
Stability Analysis of the Observer Error of an In-Domain Actuated Vibrating String
Tobias Malzer, Hubert Rams, Bernd Kolar +1
In this paper, the behaviour of the observer error of an in-domain actuated vibrating string, where the observer system has been designed based on energy considerations exploiting…
Embedded-physics machine learning for coarse-graining and collective variable discovery without data
Markus Schöberl, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis
We present a novel learning framework that consistently embeds underlying physics while bypassing a significant drawback of most modern, data-driven coarse-grained approaches in th…
Predictive Collective Variable Discovery with Deep Bayesian Models
Markus Schöberl, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis
Extending spatio-temporal scale limitations of models for complex atomistic systems considered in biochemistry and materials science necessitates the development of enhanced sampli…
On an intrinsic formulation of time-variant Port Hamiltonian systems
Markus Schöberl, Kurt Schlacher
In this contribution we present an intrinsic description of time-variant Port Hamiltonian systems as they appear in modeling and control theory. This formulation is based on the sp…