Abstract
Block-oriented nonlinear systems are represented by a certain composition of linear dynamical and nonlinear static models. Hence, a block-oriented system is defined by the pair (λ ,m(∙)), where λ defines infinite-dimensional parameter representing impulse response sequences of linear dynamical subsystems, whereas m(∙) is a vector of nonparametric multidimensional functions describing nonlinear elements.
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Pawlak, M. (2010). Identification of Block-oriented Systems: Nonparametric and Semiparametric Inference. 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_9
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DOI: https://doi.org/10.1007/978-1-84996-513-2_9
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