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