Discrete time state feedback with setpoint control, actual state observer and load estimation for a tumor growth model

Johanna Sápi, Dániel András Drexler, L. Kovács

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

4 Citations (Scopus)

Abstract

With the current scientific knowledge, there is no medical device which can handle continuous infusion cancer therapy. Hence, only a quasi continuous infusion therapy can be achieved using discrete drug administration (which can be sufficiently frequent). Therefore, a discrete time control has to be designed for a tumor growth model for real-life application. We designed state feedback control, augmented with setpoint control to follow nonzero reference signal, and also augmented with actual state observer due to the fact that we are unable to measure all states of the system. In addition, the control system contains load estimation as well to investigate the effect of disturbance on the input of the model.

Original languageEnglish
Title of host publicationSACI 2016 - 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages111-118
Number of pages8
ISBN (Electronic)9781509023790
DOIs
Publication statusPublished - Jul 7 2016
Event11th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2016 - Timisoara
Duration: May 12 2016May 14 2016

Other

Other11th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2016
CityTimisoara
Period5/12/165/14/16

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Control and Optimization
  • Health Informatics

Cite this

Sápi, J., Drexler, D. A., & Kovács, L. (2016). Discrete time state feedback with setpoint control, actual state observer and load estimation for a tumor growth model. In SACI 2016 - 11th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings (pp. 111-118). [7507351] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SACI.2016.7507351