Modeling of quadruple tank system using support vector regression

Kemal Uçak*, Gülay Öke

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationINISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications
Pages234-240
Number of pages7
DOIs
Publication statusPublished - 2011
Event2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011 - Istanbul-Kadikoy, Turkey
Duration: 15 Jun 201118 Jun 2011

Publication series

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

Conference

Conference2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011
Country/TerritoryTurkey
CityIstanbul-Kadikoy
Period15/06/1118/06/11

Keywords

  • MIMO System
  • NARX Model
  • Quadruple Tank System
  • Support Vector Regression

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