SKM 2021 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 13: Focus session: Nonlinear Dynamics of the Heart II (organized by Markus Bär, Stefan Luther and Ulrich Parlitz)

DY 13.5: Vortrag

Donnerstag, 30. September 2021, 15:15–15:30, H2

Using small perturbations and machine learning for the control of spiral wave chaos — •Thomas Lilienkamp — Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

The dynamics during life threatening cardiac arrhythmias like ventricular fibrillation is governed by chaotic spiral/scroll wave dynamics. In ex-vivo experiments and numerical simulations, a phenomenon called self-termination can be observed frequently, where the chaotic dynamics terminates by itself without any interaction. We demonstrate what implications this observation has on the structure of the state space, and how this structure can be exploited for an efficient control of the dynamics via small but finite perturbations (localized in space and time). We also discuss, how machine learning algorithms can be used for the control of such systems.