Abstract
A great deal of interest has recently been paid to Wiener system identification Figure 12.1. However, most proposed solutions have been developed in the case of parametric systems, see e.g.[13, 14, 15, 17, 19]. As the internal signal x(t) is not accessible for measurement, and may even be of no physical meaning, the system output then turns out to be a bilinear (but fully known) function of the unknown parameters (those of the nonlinearity, on one hand, and those of the linear subsystem, on the other hand). Such bilinearity feature has been carried out following different approaches.
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Giri, F., Rochdi, Y., Gning, JB., Chaoui, FZ. (2010). Frequency Identification of Nonparametric Wiener Systems. 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_12
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