期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 48, 期 10, 页码 1855-1860出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2003.817945
关键词
bounded uncertainty; errors-in-variable; Hammerstein model; linear programming; output errors; parameter bounding
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.
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