Title :
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
fDate :
2/1/2003 12:00:00 AM
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;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2002.807673
