Data-driven reduced order modeling for mechanical oscillators using Koopman approaches

Data-driven reduced order modeling methods that aim at extracting physically meaningful governing equations directly from measurement data are facing a growing interest in recent years. The HAVOK-algorithm is Koopman-based method distills forced, low-dimensional state-space model for given dynamical system univariate time series. This article studies the potential of HAVOK application to mechanical oscillators by investigating which information underlying can be extracted generated HAVOK. Extensive parameter performed point out strengths and pitfalls algorithm ultimately yield recommendations choosing tuning parameters. real-world friction brake measurements concludes this study.