Minimizing TS controller via HOSVD

Author

Baranyi, Péter ; Tikk, Domonkos ; Várkonyi-Koczy, Annamária R. ; Yam, Yeung ; Rudas, Imre

Author_Institution

Integrated Intelligent Syst. Japanese-Hungarian Lab., Budapest Univ. of Technol. & Econ., Hungary

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

128

Lastpage

133

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 the paper a higher order singular value decomposition (HOSVD) based complexity reduction technique is proposed for 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

Keywords

computational complexity; fuzzy logic; fuzzy systems; nonlinear dynamical systems; singular value decomposition; vectors; Takagi Sugeno fuzzy models; computational complexity; controllers; higher order singular value decomposition based complexity reduction technique; local linear model; models; observers; real time control applications; Automatic control; Automation; Computational complexity; Computational intelligence; Fuzzy logic; Fuzzy sets; Fuzzy systems; Intelligent systems; Laboratories; Tensile stress;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7280-8

Type

conf

DOI

10.1109/FUZZ.2002.1004972

Filename

1004972