Kernel-based parameter estimation of dynamical systems with unknown observation functions

9 Sep 2020Ofir LindenbaumAmir SagivGal MishneRonen Talmon

A low-dimensional dynamical system is observed in an experiment as a high-dimensional signal; For example, a video of a chaotic pendulums system. Assuming that we know the dynamical model up to some unknown parameters, can we estimate the underlying system's parameters by measuring its time-evolution only once?.. (read more)

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