An Investigation of the Wiener Approach for Nonlinear System Identification Benchmarks

We evaluate the effectiveness of the Wiener model structure in modeling of the given benchmark problems. Two different approaches are proposed for parameter estimation. The results are compared for three problems, i.e. Silver Box, Wiener-Hammerstein, and Wiener-Hammerstein with noise. The aim is to evaluate the capability of the algorithms on the other benchmark problems in future works as well.