Data-Driven Approach for Uncertainty Propagation and Reachability Analysis in Dynamical Systems

摘要

In this paper, we propose a data-driven approach for uncertainty propagation and reachability analysis in a dynamical system. The proposed approach relies on the linear lifting of a nonlinear system using linear Perron-Frobenius (P-F) and Koopman operator