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This paper discusses the predictive capability of Dynamic Mode Decomposition(DMD) in the context of orbital mechanics. The focus is specifically on theHankel variant of DMD which uses a stacked set of time-delayed observations forsystem identification and subsequent prediction. A theory on the minimum numberof time delays required for accurate reconstruction of periodic trajectories ofnonlinear systems is presented and corroborated using experimental analysis. Inaddition, the window size for training and prediction regions, respectively, ispresented. The need for a meticulous approach while using DMD is emphasized bydrawing comparisons between its performance on two candidate satellites, theISS and MOLNIYA-3-50.

On the Predictive Capability of Dynamic Mode Decomposition for Nonlinear Periodic Systems with Focus on Orbital Mechanics