Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/40851
Type of publication: Straipsnis kitose duomenų bazėse / Article in other databases (S4)
Field of Science: Informatika / Informatics (N009)
Author(s): Liutkevičius, Raimundas;Dainys, Saulius
Title: Hybrid fuzzy model of nonlinear plant
Other Title: Netiesinio proceso hibridinis "fuzzy" modelis
Is part of: Informacinės technologijos ir valdymas=Information technology and control. Kaunas : Technologija., 2005, T. 34, nr. 1
Extent: p. 51-56
Date: 2005
Abstract: This paper presents predictive fuzzy modeling of nonlinear plant. Three different fuzzy models are presented, where the first one is synthesized using Mamdani type rule base, the second - Takagi-Sugeno type rule base. The experimental results show advantages and disadvantages of the presented models and their adequacy to the nonlinear plant. A hybrid modeling approach was offered to eliminate the disadvantages of the Mamdani and the Takagi-Sugeno fuzzy models. The advantages of the hybrid model are experimentally proved and presented in this paper
Internet: http://itc.ktu.lt
http://itc.ktu.lt
Affiliation(s): Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml10.39 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)

152
checked on Sep 9, 2020

Download(s)

16
checked on Sep 9, 2020

Google ScholarTM

Check


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