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SVD-based reduction to MISO TS models
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DOI：10.1109/TIE.2002.807673.png)
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摘要
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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.
Keyword:
complexity reduction
higher order singular value decomposition (SVD)
SVD-based fuzzy rule base reduction
期刊
IF:
7.2
论文数:
1.8W
被引数:
9.8W
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