DocumentCode
1750765
Title
Data-driven construction of Sugeno controllers: Analytical aspects and new numerical methods
Author
Haslinger, Josef ; Bodenhofer, Ulrich ; Burger, Martin
Author_Institution
Software Competence Center Hagenberg, Hegenberg, Austria
Volume
1
fYear
2001
fDate
25-28 July 2001
Firstpage
239
Abstract
In this paper, the general problem of identifying the parameters describing Sugeno controllers from example data is addressed. It is shown that this approximation is ill-posed, which necessitates the use of regularization methods. Based upon this discovery, an efficient numerical algorithm for solving the general regularized approximation problem is proposed, followed by numerical examples with real-world data
Keywords
computational complexity; control system synthesis; numerical analysis; Sugeno controller data-driven construction; efficient numerical algorithm; general regularized approximation problem; numerical methods; Computer industry; Construction industry; Fuzzy control; Fuzzy sets; Fuzzy systems; Industrial control; Least squares approximation; Least squares methods; Mathematics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-7078-3
Type
conf
DOI
10.1109/NAFIPS.2001.944258
Filename
944258
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