@inproceedings{2b912a25566d48a3a1e0fdb52782b605,
title = "Identification of multichannel nonlinear systems excited by realisations of mutivariate orthogonal multisine random time-series",
abstract = "In the paper nonlinear transformations of multivariate orthogonal multisine random time-series are discussed. A focus on transformations that preserves orthogonality of transformed multivariate orthogonal multisine random time-series elements is given and the following from this property decomposition of multichannel nonlinear dynamic system identification problem into separate single-channel nonlinear dynamic system identification problems is described. This decomposition is illustrated by simulation examples devoted to identification of two-input single-output nonlinear dynamic systems based on observed mixtures of single-channel nonlinear block-oriented dynamic system outputs and the corresponding samples of the used bivariate orthogonal white multisine random excitations.",
author = "Jaroslaw Figwer",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019 ; Conference date: 26-08-2019 Through 29-08-2019",
year = "2019",
month = aug,
doi = "10.1109/MMAR.2019.8864620",
language = "English",
series = "2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "496--500",
booktitle = "2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019",
address = "United States",
}