@inproceedings{809dc3a9e33f427d9b1401a6ec4f5a9d,
title = "Identification of approximative nonlinear state-space models by subspace methods",
abstract = "A subspace identification algorithm for state-affine state-space systems which allows to approximate nonlinear systems arbitrarily well is derived. The proposed algorithm depends on an approximation step where a detailed approximation error analysis is provided. A special case is presented in which this approximation error vanishes. To tackle higher-order systems and ill-posed problems a regularized kernel method is proposed. The algorithm is evaluated by a simulation study.",
keywords = "State-affine systems, Subspace identification",
author = "Andreas Schrempf and Vincent Verdult",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 16 th IFAC World-Congress ; Conference date: 04-07-2005 Through 08-07-2005",
year = "2005",
doi = "10.3182/20050703-6-cz-1902.00157",
language = "English",
isbn = "008045108X",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
pages = "934--939",
booktitle = "Proceedings of the 16th IFAC World Congress, IFAC 2005",
address = "Austria",
}