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Fuzzy Control pp 376-386 | Cite as

Fuzzy Modelling of Multidimensional Non-linear Processes — Design and Analysis of Structures

  • Andrzej Pieczynski
  • Wolfgang Kästner
Part of the Advances in Soft Computing book series (AINSC, volume 6)

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.

Keywords

Fuzzy Logic Fuzzy Model Fuzzy Controller Blow Down Weighting Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Andrzej Pieczynski
    • 1
  • Wolfgang Kästner
    • 2
  1. 1.Department of Robotics and Software EngineeringTechnical University of Zielona GoraZielona GoraPoland
  2. 2.Process Automation and Measuring Technique, (IPM), Department Measuring Technique/Process AutomationInstitute of Process TechniqueZittauGermany

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