DocumentCode
436932
Title
Fuzzy instrumental variable concept and identification algorithm
Author
Serra, Ginalber ; Bottura, Celso
Author_Institution
Control & Intelligent Syst. Lab., State Univ. of Campinas
fYear
2005
fDate
25-25 May 2005
Firstpage
1062
Lastpage
1067
Abstract
For fuzzy identification in noisy environments the concept of fuzzy instrumental variable (FTV) and its application to the development of a recursive fuzzy algorithm associated to the Takagi-Sugeno fuzzy model are proposed. Some convergence conditions for fuzzy identification in a noise environment are studied
Keywords
fuzzy logic; fuzzy set theory; fuzzy systems; identification; nonlinear dynamical systems; recursive functions; Takagi-Sugeno fuzzy model; convergence condition; fuzzy identification; fuzzy instrumental variable; noisy environments; recursive fuzzy algorithm; Biological system modeling; Control system synthesis; Fuzzy control; Fuzzy sets; Fuzzy systems; Instruments; Intelligent control; Intelligent systems; Takagi-Sugeno model; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location
Reno, NV
Print_ISBN
0-7803-9159-4
Type
conf
DOI
10.1109/FUZZY.2005.1452542
Filename
1452542
Link To Document