SVD-based reduction to MISO TS models

被引：28

作者：

Baranyi, P ^{[2
]}

Yam, Y

Vákonyi-Kóczy, AR

Patton, RJ

机构：

[1] Chinese Univ Hong Kong, Dept Automat & Comp Aided Engn, Hong Kong, Hong Kong, Peoples R China

[2] Budapest Univ Technol & Econ, Dept Telecommun & Telemat, Integrated Intelligent Syst Japanese Hungarian Lab, H-1111 Budapest, Hungary

[3] Budapest Univ Technol & Econ, Dept Measurements & Informat Syst, Integrated Intelligent Syst Japanese Hungarian Lab, H-1111 Budapest, Hungary

[4] Univ Hull, Sch Engn, Control & Intelligent Syst Engn Res Grp, Kingston Upon Hull HU6 7RX, N Humberside, England

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2003年 / 50卷 / 01期

基金：

匈牙利科学研究基金会;

关键词：

complexity reduction; higher order singular value decomposition (SVD); SVD-based fuzzy rule base reduction;

D O I：

10.1109/TIE.2002.807673

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：232 / 242

页数：11

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