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- W2014703213 abstract "This paper examines the use of a so-called “generalised Hammerstein–Wiener” model structure that is formed as the concatenation of an arbitrary number of Hammerstein systems. The latter are taken here to be memoryless non-linearities followed by linear time invariant dynamics. Hammerstein, Wiener, Hammerstein–Wiener and Wiener–Hammerstein models are all special cases of this structure. The parameter estimation of this model is investigated by using a standard prediction error criterion coupled with a robust gradient based search algorithm. This approach is profiled using the Wiener–Hammerstein system benchmark data, which illustrates it to be effective and, via Monte–Carlo simulation, relatively robust against capture in local minima." @default.
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- W2014703213 date "2009-01-01" @default.
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- W2014703213 title "Estimation of Generalised Hammerstein-Wiener Systems" @default.
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- W2014703213 doi "https://doi.org/10.3182/20090706-3-fr-2004.00183" @default.
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