Inferring Subsystem Dynamics from Data in Explicit Co-Simulation of Mechanical Systems

EasyChair Preprint 13314

Abstract

Co-simulation environments are simulation setups in which two or more dynamic solvers are coupled by exchanging of a limited set of variables at specific communication points in time. When co-simulation is performed according to an explicit (noniterative) coupling approach, numerical errors are introduced and the quality of the results is compromised. We provide a data-driven framework to infer subsystem dynamics in explicit co-simulation environments to make the co-simulation much less vulnerable to errors in total energy.

Keyphrases: Dynamic Mode Decomposition, co-simulation, data-driven

@booklet{EasyChair:13314,
  author    = {Maciej Pikulinski and Paweł Malczyk and Antonio J. Rodríguez and Francisco González},
  title     = {Inferring Subsystem Dynamics from Data in Explicit Co-Simulation of Mechanical Systems},
  howpublished = {EasyChair Preprint 13314},
  year      = {EasyChair, 2024}}