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eess.SY2024
Modularized data-driven approximation of the Koopman operator and generator
Yang Guo, Manuel Schaller, Karl Worthmann +1
Extended Dynamic Mode Decomposition (EDMD) is a widely-used data-driven approach to learn an approximation of the Koopman operator. Consequently, it provides a powerful tool for da…
math.OC2024
MPC without Terminal Ingredients Tailored to the SEIR Compartmental Epidemic Model
Willem Esterhuizen, Philipp Sauerteig, Stefan Streif +1
We consider the SEIR compartmental epidemic model subject to state and input constraints (a cap on the proportion of infectious individuals and limits on the allowed social distanc…