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

Anouar Bouazza, Anis Sakly and Mohamed Benrejeb

International Journal of Systems Science, 2013, vol. 44, issue 3, 442-449

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.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2011.602480 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:44:y:2013:i:3:p:442-449

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20

DOI: 10.1080/00207721.2011.602480

Access Statistics for this article

International Journal of Systems Science is currently edited by Visakan Kadirkamanathan

More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().