SVD-based reduction to MISO TS models

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 comple...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2003-02, Vol.50 (1), p.232-242
Main Authors: Baranyi, P., Yeung Yam, Varkonyi-Koczy, A.R., Patton, R.J.
Format: Article
Language:English
Subjects:
Fault detection
Fuzzy logic
Fuzzy sets
Fuzzy systems
Intelligent systems
Laboratories
Nonlinear dynamical systems
Singular value decomposition
Stability
Takagi-Sugeno model
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Summary: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.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2002.807673