Abstract
Nonlinear block-oriented models have successfully been used in many engineering applications to identify chemical, mechanical, and biological systems or processes. Due to their simple structure, these models are very attractive from a user’s point of view. However, the block-oriented approach also has some disadvantages over black-box modelling approaches.
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Lauwers, L., Schoukens, J. (2010). Identification of Wiener–Hammerstein Systems Using the Best Linear Approximation. 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_13
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DOI: https://doi.org/10.1007/978-1-84996-513-2_13
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