Deep Model Predictive Control with Online Learning for Complex Physical Systems

24 May 2019Katharina BiekerSebastian PeitzSteven L. BruntonJ. Nathan KutzMichael Dellnitz

The control of complex systems is of critical importance in many branches of science, engineering, and industry. Controlling an unsteady fluid flow is particularly important, as flow control is a key enabler for technologies in energy (e.g., wind, tidal, and combustion), transportation (e.g., planes, trains, and automobiles), security (e.g., tracking airborne contamination), and health (e.g., artificial hearts and artificial respiration)... (read more)

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