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Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated
  Control Form and NMPC Case Study

Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study

9 January 2024
Jan C. Schulze
Alexander Mitsos
ArXiv (abs)PDFHTML

Papers citing "Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study"

4 / 4 papers shown
Title
Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison
Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison
Jan C. Schulze
Alexander Mitsos
22
0
0
15 Jun 2025
Stable Linear Subspace Identification: A Machine Learning Approach
Stable Linear Subspace Identification: A Machine Learning Approach
L. D. Natale
M. Zakwan
B. Svetozarevic
P. Heer
Giancarlo Ferrari-Trecate
Colin N. Jones
57
5
0
06 Nov 2023
Data-Driven Model Reduction and Nonlinear Model Predictive Control of an
  Air Separation Unit by Applied Koopman Theory
Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory
Jan C. Schulze
Danimir T. Doncevic
Nils Erwes
Alexander Mitsos
18
1
0
11 Sep 2023
Learning Koopman Operators with Control Using Bi-level Optimization
Learning Koopman Operators with Control Using Bi-level Optimization
Daning Huang
Abhinav Pandey
Yin Yu
Junyi Geng
AI4CE
58
3
0
12 Jul 2023
1