Abstract
Subspace identification has attracted considerable attention in the past years. This is mainly due to the fact that they are based on numerically reliable computations (e.g. SVD and QR). For general non-linear systems, the extensions of this class of identification approaches is far from trivial. However, by exploiting structure in the nonlinearity (e.g. Hammerstein–Wiener, LPV) dedicated algorithms can be developed [1,2,3].
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van Wingerden, JW., Verhaegen, M. (2010). Subspace Identification of Hammerstein–Wiener Systems Operating in Closed-loop. In: Giri, F., Bai, EW. (eds) Block-oriented Nonlinear System Identification. Lecture Notes in Control and Information Sciences, vol 404. Springer, London. https://doi.org/10.1007/978-1-84996-513-2_14
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DOI: https://doi.org/10.1007/978-1-84996-513-2_14
Publisher Name: Springer, London
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