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- W142762864 abstract "1 AbstractIn this work we propose the use of Support Vector Ma-chines for Regression for the identi cation of Wiener-Hammerstein systems. The proposed methodology notonly leads to the de nition of an alternative tool for sys-tem identi cation, but gives also a better insight on thebehaviour of the Support Vector Machines approach.2 IntroductionA Wiener-Hammerstein system can be described, ingeneral terms, as the cascade of a rst linear dynamicsystem, a static nonlinear block, and a second lineardynamic system, as depicted in Fig.1.u p q" @default.
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- W142762864 date "2007-01-01" @default.
- W142762864 modified "2023-09-23" @default.
- W142762864 title "Identification of Wiener-Hammerstein systems by means of Support Vector Machines for Regression" @default.
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