Parameter identification algorithm based on a modified least square method for Takagi - Sugeno fuzzy systems

Download article in PDF format

Authors: Golubeva A. A.

Annotation: In the article the author developed a modified parameter identification algorithm based on the least square method for adjustment of consequent fuzzy rules of a Takagi–Sugeno type. We estimated the efficiency of the implemented algorithm for solving the problem of determining the priority of output overhaul sections of the heat network.

Keywords: algorithm, parameter identification, least square method, consequent, fuzzy system, takagi– sugeno

Editorial office address

Executive Secretary of the Editor’s Office

 Editor’s Office: 40 Lenina Prospect, Tomsk, 634050, Russia

  Phone / Fax: + 7 (3822) 701-582

  journal@tusur.ru

 

Viktor N. Maslennikov

Executive Secretary of the Editor’s Office

 Editor’s Office: 40 Lenina Prospect, Tomsk, 634050, Russia

  Phone / Fax: + 7 (3822) 51-21-21 / 51-43-02

  vnmas@tusur.ru

Subscription for updates