Use this url to cite publication: https://hdl.handle.net/20.500.12259/44614
Fuzzy Hammerstein model and its parameters identification using genetic algorithm
Type of publication
Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)
Title [en]
Fuzzy Hammerstein model and its parameters identification using genetic algorithm
Is part of
Electrical and control technologies : proceedings of 1st international conference, Kaunas, May 04-05, 2006 / Kaunas University of Technology ; editor A. Navickas. Kaunas : Kaunas univ. technology press,, 2006, no. 1
Date Issued
Date |
---|
2006 |
Publisher
Kaunas : Kaunas univ. technology press
Is Referenced by
Extent
p. 195-200
Abstract (en)
The synthesis of Hammerstein class model of nonlinear water level system is analyzed in the paper. The nonlinear static part of this model is described using fizzy logics. Parameters of fuzzy Hammerstein model are estimated using genetic algorithm. The model and real water level system was experimentally proved to be adequate. Fuzzy Hammerstein model is compared with other fuzzy model types which the authors synthesized for the above mentioned water level system.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Lietuva / Lithuania (LT)
ISSN (of the container)
1822-5934
WOS
WOS:000244481800040
Other Identifier(s)
VDU02-000003125