SVD-based reduction to MISO TS models
Baranyi, P.
Yeung Yam
Varkonyi-Koczy, A.R.
Patton, R.J.
Dept. of Telecommun. & Telematics, Budapest Univ. of Technol. & Econ. Budapest, Hungary;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Feb 2003
Volume: 50,
Issue: 1
On page(s): 232- 242
ISSN: 0278-0046
INSPEC Accession Number: 7517996
Digital Object Identifier: 10.1109/TIE.2002.807673
Current Version Published: 2003-01-29
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.
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