This letter proposes a fast identification algorithm for Wiener-Hammerstein systems. The computational cost of separating the front and the back linear time invariant block dynamics is significantly improved by using discrete optimization. The discrete optimization is implemented as a genetic algorithm. Numerical results confirm the efficiency and accuracy of the proposed approach.
@article{arxiv.1804.07034,
title = {Fast Identification of Wiener-Hammerstein Systems using Discrete Optimization},
author = {M. Schoukens and G. Vandersteen and Y. Rolain and F. Ferranti},
journal= {arXiv preprint arXiv:1804.07034},
year = {2018}
}