Please use this identifier to cite or link to this item:
Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Informatika / Informatics (N009)
Author(s): Liutkevičius, Raimundas;Dainys, Saulius
Title: 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
Extent: p. 195-200
Date: 2006
Keywords: Fuzzy model;Fuzzy Hammerstein model;Genetic algorithms;Water level modeling;Nonlinear system modeling;System identification
Abstract: 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
Affiliation(s): Informatikos fakultetas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml7.87 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats

Page view(s)

checked on Mar 30, 2020


checked on Mar 30, 2020

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.