Nonlinear system identification under various prior knowledge

Abstract In the note the class of block-oriented dynamic nonlinear systems is considered, in particular, Hammerstein and Wiener systems are investigated. Several algorithms for nonlinear system identification are presented. The algorithms exploit various degrees of prior knowledge - from parametric - to nonparametric. Eventually, a semiparametric algorithm, which shares advantages of both approaches is announced.

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