Fuzzy Hammerstein Model of Nonlinear Plant
Articles
R. Liutkevičius
Vytautas Magnus University, Lithuania
Published 2008-04-25
https://doi.org/10.15388/NA.2008.13.2.14580
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Keywords

fuzzy modeling
nonlinear modeling
predictive modeling
Hammerstein model
fuzzy Hammerstein model
level modeling

How to Cite

Liutkevičius, R. (2008) “Fuzzy Hammerstein Model of Nonlinear Plant”, Nonlinear Analysis: Modelling and Control, 13(2), pp. 201–212. doi:10.15388/NA.2008.13.2.14580.

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.

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