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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
Title: Fuzzy hammerstein model of nonlinear plant
Is part of: Nonlinear analysis: modelling and control. Vilnius : Institute of Mathematics and Informatics., Vol. 13, no. 2 (2008)
Extent: p. 201–212
Date: 2008
Keywords: Fuzzy modeling;Nonlinear modeling;Predictive modeling;Hammerstein model;Fuzzy Hammerstein model;Level modeling
Abstract: This paper presents the synthesis and analysis of the enhanced predictive fuzzy Hammerstein model of the water tank system. Fuzzy Hammerstein model was compared with three other fuzzy models: the first was synthesized using Mamdani type rule base, the second – Takagi-Sugeno type rule base and the third – composed of Mamdani and Takagi-Sugeno rule bases. The synthesized model is invertible so it can be used in the model based control. The fuzzy Hammerstein model was synthesized to eliminate disadvantages of the other fuzzy models. The advantage of the fuzzy Hammerstein model was experimentally proved and presented in this paper
Affiliation(s): Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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