Use this url to cite publication: https://hdl.handle.net/20.500.12259/40851
Hybrid fuzzy model of nonlinear plant
Type of publication
Straipsnis kitoje duomenų bazėje / Article in other database (S4)
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
Date Issued
| Date |
|---|
2005 |
Publisher
Kaunas : Technologija
Extent
p. 51-56
Abstract (en)
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.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Lietuva / Lithuania (LT)
ISSN (of the container)
1392-124X
Other Identifier(s)
VDU02-000001869