HOSVD based computational complexity reduction of TS fuzzy models

Péter Baranyi, Annamaria R. Varkonyi-Koczy, Yeung Yam, Pál Michelberger

Research output: Paper

4 Citations (Scopus)

Abstract

One of the usual important criteria to be considered in real time control applications is the computational complexity of the controllers, observers and models applied. In this paper a higher order singular value decomposition (HOSVD) based complexity reduction technique is proposed to Takagi Sugeno (TS) fuzzy models, which is capable of defining the contribution of each local linear model included in the TS fuzzy model. This helps us with discarding the weakly contributing ones according to a given threshold. Reducing the number of models leads directly to the computational complexity reduction.

Original languageEnglish
Pages2482-2487
Number of pages6
Publication statusPublished - dec. 1 2001
EventJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada
Duration: júl. 25 2001júl. 28 2001

Other

OtherJoint 9th IFSA World Congress and 20th NAFIPS International Conference
CountryCanada
CityVancouver, BC
Period7/25/017/28/01

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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    Baranyi, P., Varkonyi-Koczy, A. R., Yam, Y., & Michelberger, P. (2001). HOSVD based computational complexity reduction of TS fuzzy models. 2482-2487. Paper presented at Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, BC, Canada.