IEEE Transactions on Automatic Control, Vol.48, No.10, 1855-1860, 2003
Parmeter bounds for discrete-time Hammerstein models with bounded output errors
In this note, 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 immeasurable inner signal which, together with noisy output measurements are used for bounding the parameters of the linear dynamic block.
Keywords:bounded uncertainty;errors-in-variable;Hammerstein model;linear programming;output errors;parameter bounding