An adaptive state feedback controller based on SVR for nonlinear systems

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Abstract

In this study, generalized self-tuning regulator (STR) based on support vector regression (SVR) which was previously introduced is deployed to design a state feedback controller so as to control a nonlinear bioreactor system. The parameters of the state feedback controller used in the controller block are adjusted via SVR based parameter estimator and system model blocks. The performance evaluation of the controller has been examined by simulations carried out on a nonlinear bioreactor system.

Original languageEnglish
Title of host publication2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018
EditorsSeref Naci Engin, Dogan Onur Arisoy, Muhammed Ali Oz
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538676417
DOIs
Publication statusPublished - Oct 2018
Event6th International Conference on Control Engineering and Information Technology, CEIT 2018 - Istanbul, Turkey
Duration: 25 Oct 201827 Oct 2018

Publication series

Name2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018

Conference

Conference6th International Conference on Control Engineering and Information Technology, CEIT 2018
Country/TerritoryTurkey
CityIstanbul
Period25/10/1827/10/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Adaptive control
  • Adaptive state feedback controller
  • STR based on SVR
  • SVR

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