Constrained Fuzzy Model Identification - Files for Fuzzy Modeling and Identification Toolbox

Can be used for estimation of the consequent model parameters

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The Fuzzy Modeling and Identification (FMID) toolbox is a collection of Matlab functions for the construction of Takagi--Sugeno (TS) fuzzy models from data. The proposed extension is a collection of functions that can be used for estimation of the consequent model parameters. As only the weights of the fuzzy rules, the consequent input variables, and the desired model output are needed for the determination of the consequent parameters, the presented functions can be used independently from the FMID toolbox. Moreover, by setting the number of rules to one, the toolbox is suitable for constrained identification of linear models.

It is also described in:
J. Abonyi, R. Babuska, H. B. Verbruggen, F. Szeifert, Incorporating prior knowledge in fuzzy model identification, Int. Journal of Systems Science, 31(5), 657-667, 2000

More MATLAB implementation on my website:
http://www.abonyilab.com/software-and-data

Citation pour cette source

Janos Abonyi (2026). Constrained Fuzzy Model Identification - Files for Fuzzy Modeling and Identification Toolbox (https://fr.mathworks.com/matlabcentral/fileexchange/47171-constrained-fuzzy-model-identification-files-for-fuzzy-modeling-and-identification-toolbox), MATLAB Central File Exchange. Extrait(e) le .

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Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec toutes les versions

Plateformes compatibles

  • Windows
  • macOS
  • Linux
Version Publié le Notes de version Action
1.0.0.0