Abstract
The response characteristic between input and output variables can be modelled by knowledge-based methods of signal processing like Fuzzy Logic. Based on a low number of data sets Fuzzy Logic can be applied advantageously for non-linear processes, especially. The rule-based description of the non-linear process behaviour can be realised by means of different structures of the fuzzy algorithm. The paper presents and compares three structure variants (complex, parallel and cascaded structure) of the fuzzy model design to reproduce the input-output behaviour. The structure analysis was carried out for the fuzzy-based modelling of parameters which are necessary to describe the process state of pressure vessels with water-steam mixture during accidental depressurizations.
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© 2000 Springer-Verlag Berlin Heidelberg
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Pieczynski, A., Kästner, W. (2000). Fuzzy Modelling of Multidimensional Non-linear Processes — Design and Analysis of Structures. In: Hampel, R., Wagenknecht, M., Chaker, N. (eds) Fuzzy Control. Advances in Soft Computing, vol 6. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1841-3_34
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DOI: https://doi.org/10.1007/978-3-7908-1841-3_34
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1327-2
Online ISBN: 978-3-7908-1841-3
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