most citedLearning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CE2025

Model-Based Control for Power-to-X Platforms: Knowledge Integration for Digital Twins

Daniel Dittler, Peter Frank, Gary Hildebrandt +3

Offshore Power-to-X platforms enable flexible conversion of renewable energy, but place high demands on adaptive process control due to volatile operating conditions. To face this…

math.NA2024★ 2 cited

Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference

Ion Victor Gosea, Luisa Peterson, Pawan Goyal +3

In this work, we address the challenge of efficiently modeling dynamical systems in process engineering. We use reduced-order model learning, specifically operator inference. This…