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Order reduction of complex systems described by TSK fuzzy models based on singular perturbations method

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  • Anouar Bouazza
  • Anis Sakly
  • Mohamed Benrejeb

Abstract

This article deals with the concept of order reduction of linear complex systems described by TSK fuzzy models. The use of singular perturbations technique for process modelling and the choice of Benrejeb arrow form characteristic matrix provide the decoupling of dynamics of linear systems in the continuous and discrete case. An original contribution is to apply nonconventional TSK fuzzy approach on a direct current motor in order, on one hand, to highlight the order reduction of this system presented locally in the form of linear models and, on the other hand, to show the efficiency of the proposed approaches.

Suggested Citation

  • Anouar Bouazza & Anis Sakly & Mohamed Benrejeb, 2013. "Order reduction of complex systems described by TSK fuzzy models based on singular perturbations method," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(3), pages 442-449.
    • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:3:p:442-449
    DOI: 10.1080/00207721.2011.602480
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