Abstract
This chapter starts with a brief survey of the reported applications of Wiener and Hammerstein models in both system modelling and control. Next, the estimation of parameter changes in the context of fault detection and isolation is considered in Section 6.2. Modelling vapor pressure dynamics in a .ve stage sugar evaporation station is studied in Section 6.3. Two nominal models of the process, i.e., a linear model and a neural network Wiener model are developed based on the real process data recorded at the Lublin Sugar Factory in Poland. Finally, Section 6.4 summarizes the results.
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Janczak, A. 6 Applications. In: Identification of Nonlinear Systems Using Neural Networks and Polynomial Models. Lecture Notes in Control and Information Science, vol 310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31596-4_6
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DOI: https://doi.org/10.1007/978-3-540-31596-4_6
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23185-1
Online ISBN: 978-3-540-31596-4
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