DocumentCode
3203336
Title
Takagi-Sugeno models as approximators in Sobolev norms: the SISO case
Author
Rovatti, R.
Author_Institution
Dipartimento di Elettronica Inf. e Sistemistica, Bologna Univ., Italy
Volume
2
fYear
1996
fDate
8-11 Sep 1996
Firstpage
1060
Abstract
The approximation capabilities of Takagi-Sugeno models are investigated. Classical results on the approximation of regular functions are improved showing that these more general models may approximate to any degree of accuracy not only sufficiently smooth functions but also their first and second-order derivatives
Keywords
function approximation; fuzzy set theory; fuzzy systems; interpolation; piecewise-linear techniques; SISO case; Sobolev norms; Takagi-Sugeno models; approximation capabilities; first-order derivatives; regular functions; second-order derivatives; Computer aided software engineering; Fuzzy control; Fuzzy sets; Fuzzy systems; Interpolation; Knowledge based systems; Nonlinear control systems; Polynomials; Power system modeling; Takagi-Sugeno model;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-3645-3
Type
conf
DOI
10.1109/FUZZY.1996.552325
Filename
552325
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