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Modeling of quadruple tank system using support vector regression

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

2 Atıf (Scopus)

Özet

In this paper, ε - Support Vector Regression (SVR) method is employed to model a quadruple tank system. For a successful and reliable analysis and synthesis in control engineering, primarily, the correct estimation of system model is of great significance. SVR can be used as an important tool in modeling, since it has a good generalization ability, owing to its basic properties of structural risk minimization and ensuring global minima. This suggests the use of SVR in intelligent modeling of nonlinear systems and in tuning of controller parameters based on this system model. In this work, we employ SVR to model a quadruple tank system, as an example of MIMO process modeling. We present and discuss our simulation results.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıINISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications
Sayfalar234-240
Sayfa sayısı7
DOI'lar
Yayın durumuYayınlandı - 2011
Etkinlik2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011 - Istanbul-Kadikoy, Türkiye
Süre: 15 Haz 201118 Haz 2011

Yayın serisi

AdıINISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications

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???event.eventtypes.event.conference???2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011
Ülke/BölgeTürkiye
ŞehirIstanbul-Kadikoy
Periyot15/06/1118/06/11

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