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Structure identification of functional-type fuzzy models with application to modelling nonlinear dynamic plants

  • P. Kortmann
  • H. Unbehauen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1226)

Abstract

A new fuzzy model structure identification method, based on orthogonalisation and statistical tests, as well as information criteria to obtain a minimum rule base and a minimum number of membership functions from input-output data, is proposed. The method is applied to functional-type fuzzy models. The applicability of the proposed method to nonlinear static and dynamic systems is illustrated by examples.

Keywords

Fuzzy model identification structure selection statistical tests orthogonalisation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • P. Kortmann
    • 1
  • H. Unbehauen
    • 1
  1. 1.Control Engineering Laboratory, Faculty of Electrical EngineeringRuhr-University BochumBochum

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