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.
- 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