# WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification

@article{Zambrano2018WHEAAE, title={WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification}, author={J. Zambrano and J. Sanchis and J. M. Dur{\'a} and Miguel A. Mart{\'i}nez}, journal={Complex.}, year={2018}, volume={2018}, pages={1753262:1-1753262:17} }

Current methods to identify Wiener-Hammerstein systems using Best Linear Approximation (BLA) involve at least two steps. First, BLA is divided into obtaining front and back linear dynamics of the Wiener-Hammerstein model. Second, a refitting procedure of all parameters is carried out to reduce modelling errors. In this paper, a novel approach to identify Wiener-Hammerstein systems in a single step is proposed. This approach is based on a customized evolutionary algorithm (WH-EA) able to lookβ¦Β Expand

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