DocumentCode
2470717
Title
A novel rule antecedent structure and its identification for fuzzy models
Author
Su, Ming ; Rhinehart, R. Russell
Author_Institution
Sch. of Chem. Eng., Oklahoma State Univ., Stillwater, OK, USA
fYear
2009
fDate
10-12 June 2009
Firstpage
4272
Lastpage
4277
Abstract
The existing combinatorial antecedent structure in fuzzy models makes them suffer from ldquothe curse of dimensionalityrdquo. In this work, a novel rule antecedent structure is proposed to design an efficient fuzzy model by using fewer rules. The new rule antecedent only uses nonlinear variables. Additionally, the proposed rule antecedents are expressed as ellipsoids covering the underlying local regions, which make spatial coverage more efficient.
Keywords
divide and conquer methods; fuzzy set theory; fuzzy systems; combinatorial antecedent structure; divide-and-conquer concept; fuzzy models; identification; rule antecedent structure; Ellipsoids; Fuzzy control; Fuzzy sets; Fuzzy systems; Nonlinear equations;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2009. ACC '09.
Conference_Location
St. Louis, MO
ISSN
0743-1619
Print_ISBN
978-1-4244-4523-3
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2009.5160375
Filename
5160375
Link To Document