SVD-based reduction to MISO TS models

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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.

Original languageEnglish
Pages (from-to)232-242
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Issue number1
Publication statusPublished - Feb 1 2003



  • Complexity reduction
  • Higher order singular value decomposition (SVD)
  • SVD-based fuzzy rule base reduction

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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