Conventional spectral analysis fairs in identifying systems operating with feedback from noisy input-output data. It is shown that polyspectral and cyclic methods can identify closed-loop systems with data corrupted by a class of stationary and cyclostationary noise. The class is specified, and nonparametric transfer function estimators are developed and simulated.