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most citedIdentification of MIMO Wiener-type Koopman Models for Data-Driven Model Reduction using Deep Learning

29 citations · 43 across the 5 of their papers we have counts for

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eess.SY2023

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 +1

Achieving real-time capability is an essential prerequisite for the industrial implementation of nonlinear model predictive control (NMPC). Data-driven model reduction offers a way…