Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/40851
Type of publication: research article
Type of publication (PDB): 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
Affiliation(s): Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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