Robustness of nonlinear parameter identification in the presence of process noise using control-based continuation

Abstract In this study, we consider the experimentally obtained, periodically forced response of a nonlinear structure in presence process noise. Control-based continuation is used to measure both stable and unstable periodic solutions, while different levels noise are injected into system. Using these data, robustness control-based algorithm its ability capture noise-free system assessed by identifying parameters an associated Duffing-like model. We demonstrate that extracts information more robustly, high level noise, than open-loop parameter sweeps so valuable tool for investigating structures.