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 :
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