A two-stage parameter bounding procedure for Hammerstein models with bounded output errors

In this paper we present a two-stage procedure for deriving parameters bounds in Hammerstein models when the output measurement errors are bounded. First, using steady-state input-output data, parameters of the nonlinear part are tightly bounded. Then, for a given input transient sequence we evaluate tight bounds on the unmeasurable inner signal together with noisy output measurements are used for bounding the parameters of the linear dynamic block.