A data-driven Koopman model predictive control framework for nonlinear flows

15 Apr 2018 Hassan Arbabi Milan Korda Igor Mezic

The Koopman operator theory is an increasingly popular formalism of dynamical systems theory which enables analysis and prediction of the nonlinear dynamics from measurement data. Building on the recent development of the Koopman model predictive control framework (Korda and Mezic 2016), we propose a methodology for closed-loop feedback control of nonlinear flows in a fully data-driven and model-free manner... (read more)

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  • 76B75, 35Q93, 76D55, 76N25