We investigated the self-excited as well as optogalvanically stimulated heartbeat instability in RF discharge complex plasma.
We generalize the concept of local states (LS) for the prediction of high-dimensional, potentially mixed chaotic systems.
Time Series Data Analysis, Statistics and Probability Chaotic Dynamics Computational Physics
We propose a novel and fully data driven control scheme which relies on machine learning (ML).
Further, four ways to break the symmetry are compared numerically: A bias in the output, a shift in the input, a quadratic term in the readout, and a mixture of even and odd activation functions.