SVD-based reduction to MISO TS models

Author

Baranyi, Péeter ; Yam, Yeung ; Varkonyi-Koczy, Annamaria R. ; Patton, Ron J.

Author_Institution

Dept. of Telecommun. & Telematics, Budapest Univ. of Technol. & Econ. Budapest, Hungary

Volume

50

Issue

1

fYear

2003

fDate

2/1/2003 12:00:00 AM

Firstpage

232

Lastpage

242

Abstract

The main objective of this paper is to expound the singular-value-decomposition (SVD)-based reduction technique proposed to single-input-single-output Takagi-Sugeno (TS) fuzzy models to multivariable cases. The use of higher order singular value decomposition is proposed in this paper for the complexity reduction of multiple-input-single-output TS fuzzy model approximation. A detailed illustrative example of a nonlinear dynamic model is also discussed.

Keywords

fuzzy set theory; nonlinear dynamical systems; reduced order systems; singular value decomposition; MISO TS models; SVD-based reduction; higher order singular value decomposition; multiple-input-single-output TS fuzzy model approximation; multivariable models; nonlinear dynamic model; single-input-single-output Takagi-Sugeno fuzzy models; singular-value-decomposition-based reduction; Fault detection; Fuzzy logic; Fuzzy sets; Fuzzy systems; Intelligent systems; Laboratories; Nonlinear dynamical systems; Singular value decomposition; Stability; Takagi-Sugeno model;

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/TIE.2002.807673

Filename

1174079