A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution

Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert +2

In this paper, we present a novel data-driven approach to quantify safety for non-linear, discrete-time stochastic systems with unknown noise distribution. We define safety as the…