Adaptive soft computing methods for control of hemodialysis machines

József Klespitz, Márta Takács, I. Rudas, L. Kovács

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In hemodialysis systems the control of peristaltic pumps can be vital as these machines support and maintain life functions. In this paper different soft computing approaches are compared for the strict control of peristaltic pumps. An adaptive fuzzy logic and an adaptive neuro-fuzzy inference system are examined then compared with a classical PID controller. A fast controller is sought, which is insensitive in speak of disturbances and has no residual error. Finally, experiences of the designed controller on a real system are detailed in the paper.

Original languageEnglish
Title of host publicationiFUZZY 2014 - 2014 International Conference on Fuzzy Theory and Its Applications, Conference Digest
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages47-50
Number of pages4
ISBN (Print)9781479945887
DOIs
Publication statusPublished - Apr 21 2014
Event2014 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2014 - Kaohsiung, Taiwan, Province of China
Duration: Nov 26 2014Nov 28 2014

Other

Other2014 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2014
CountryTaiwan, Province of China
CityKaohsiung
Period11/26/1411/28/14

ASJC Scopus subject areas

  • Control and Optimization
  • Logic
  • Computational Theory and Mathematics
  • Computer Science Applications

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    Klespitz, J., Takács, M., Rudas, I., & Kovács, L. (2014). Adaptive soft computing methods for control of hemodialysis machines. In iFUZZY 2014 - 2014 International Conference on Fuzzy Theory and Its Applications, Conference Digest (pp. 47-50). [7091230] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iFUZZY.2014.7091230